Welcome to the DHBAO documentation!
+You can find descriptions of the standard ontology engineering workflows here.
+ + + + + + +Project build process works as follows:
+Historically, most repos have been using Travis CI for continuous integration testing and building, but due to +runtime restrictions, we recently switched a lot of our repos to GitHub actions. You can set up your repo with CI by adding +this to your configuration file (src/ontology/dhbao-odk.yaml):
+ci:
+ - github_actions
+When updateing your repo, you will notice a new file being added: .github/workflows/qc.yml.
This file contains your CI logic, so if you need to change, or add anything, this is the place!
+Alternatively, if your repo is in GitLab instead of GitHub, you can set up your repo with GitLab CI by adding +this to your configuration file (src/ontology/dhbao-odk.yaml):
+ci:
+ - gitlab-ci
+This will add a file called .gitlab-ci.yml in the root of your repo.
The editors workflow is one of the formal workflows to ensure that the ontology is developed correctly according to ontology engineering principles. There are a few different editors workflows:
+This document only covers the first editing workflow, but more will be added in the future
+Workflow requirements:
+Ensure that there is a ticket on your issue tracker that describes the change you are about to make. While this seems optional, this is a very important part of the social contract of building an ontology - no change to the ontology should be performed without a good ticket, describing the motivation and nature of the intended change.
+In your local environment (e.g. your laptop), make sure you are on the main (prev. master) branch and ensure that you have all the upstream changes, for example:
git checkout main
+git pull
+Create a new branch. Per convention, we try to use meaningful branch names such as: +- issue23removeprocess (where issue 23 is the related issue on GitHub) +- issue26addcontributor +- release20210101 (for releases)
+On your command line, this looks like this:
+git checkout -b issue23removeprocess
+Using your editor of choice, perform the intended edit. For example:
+Protégé
+src/ontology/dhbao-edit.owl in ProtégéTextEdit
+src/ontology/dhbao-edit.owl in TextEdit (or Sublime, Atom, Vim, Nano)Consider the following when making the edit.
+src/ontology/dhbao-edit.owlsrc/ontology/components), see here.This step is very important. Rather than simply trusting your change had the intended effect, we should always use a git diff as a first pass for sanity checking.
+In our experience, having a visual git client like GitHub Desktop or sourcetree is really helpful for this part. In case you prefer the command line:
+git status
+git diff
+Now it's time to run your quality control checks. This can either happen locally (5a) or through your continuous integration system (7/5b).
+If you chose to run your test locally:
+sh run.sh make IMP=false test
+PAT=false to skip the potentially lengthy process of rebuilding the patterns.
+sh run.sh make IMP=false PAT=false test
+When you are happy with the changes, you commit your changes to your feature branch, push them upstream (to GitHub) and create a pull request. For example:
+git add NAMEOFCHANGEDFILES
+git commit -m "Added biological process term #12"
+git push -u origin issue23removeprocess
+Then you go to your project on GitHub, and create a new pull request from the branch, for example: https://github.com/INCATools/ontology-development-kit/pulls
+There is a lot of great advise on how to write pull requests, but at the very least you should:
+- mention the tickets affected: see #23 to link to a related ticket, or fixes #23 if, by merging this pull request, the ticket is fixed. Tickets in the latter case will be closed automatically by GitHub when the pull request is merged.
+- summarise the changes in a few sentences. Consider the reviewer: what would they want to know right away.
+- If the diff is large, provide instructions on how to review the pull request best (sometimes, there are many changed files, but only one important change).
If you didn't run and local quality control checks (see 5a), you should have Continuous Integration (CI) set up, for example: +- Travis +- GitHub Actions
+More on how to set this up here. Once the pull request is created, the CI will automatically trigger. If all is fine, it will show up green, otherwise red.
+Once all the automatic tests have passed, it is important to put a second set of eyes on the pull request. Ontologies are inherently social - as in that they represent some kind of community consensus on how a domain is organised conceptually. This seems high brow talk, but it is very important that as an ontology editor, you have your work validated by the community you are trying to serve (e.g. your colleagues, other contributors etc.). In our experience, it is hard to get more than one review on a pull request - two is great. You can set up GitHub branch protection to actually require a review before a pull request can be merged! We recommend this.
+This step seems daunting to some hopefully under-resourced ontologies, but we recommend to put this high up on your list of priorities - train a colleague, reach out!
+When the QC is green and the reviews are in (approvals), it is time to merge the pull request. After the pull request is merged, remember to delete the branch as well (this option will show up as a big button right after you have merged the pull request). If you have not done so, close all the associated tickets fixed by the pull request.
+It is sometimes difficult to keep track of changes made to an ontology. Some ontology teams opt to document changes in a changelog (simply a text file in your repository) so that when release day comes, you know everything you have changed. This is advisable at least for major changes (such as a new release system, a new pattern or template etc.).
+ + + + + + +We can define custom checks using SPARQL. SPARQL queries define bad modelling patterns (missing labels, misspelt URIs, and many more) in the ontology. If these queries return any results, then the build will fail. Custom checks are designed to be run as part of GitHub Actions Continuous Integration testing, but they can also run locally.
+src/sparql. The name of the file should end with -violation.sparql. Please give a name that helps to understand which violation the query wants to check.src/ontology/uberon-odk.yaml:-violation.sparql part) to the list inside the key custom_sparql_checks that is inside robot_report key.If the robot_report or custom_sparql_checks keys are not available, please add this code block to the end of the file.
robot_report:
+ release_reports: False
+ fail_on: ERROR
+ use_labels: False
+ custom_profile: True
+ report_on:
+ - edit
+ custom_sparql_checks:
+ - name-of-the-file-check
+sh run.sh make update_repo
+The documentation for DHBAO is managed in two places (relative to the repository root):
+docs directory contains all the files that pertain to the content of the documentation (more below)mkdocs.yaml file contains the documentation config, in particular its navigation bar and theme.The documentation is hosted using GitHub pages, on a special branch of the repository (called gh-pages). It is important that this branch is never deleted - it contains all the files GitHub pages needs to render and deploy the site. It is also important to note that the gh-pages branch should never be edited manually. All changes to the docs happen inside the docs directory on the main branch.
All the documentation is contained in the docs directory, and is managed in Markdown. Markdown is a very simple and convenient way to produce text documents with formatting instructions, and is very easy to learn - it is also used, for example, in GitHub issues. This is a normal editing workflow:
.md file you want to change in an editor of choice (a simple text editor is often best). IMPORTANT: Do not edit any files in the docs/odk-workflows/ directory. These files are managed by the ODK system and will be overwritten when the repository is upgraded! If you wish to change these files, make an issue on the ODK issue tracker.The documentation is not automatically updated from the Markdown, and needs to be deployed deliberately. To do this, perform the following steps:
+cd dhbao/src/ontology
+sh run.sh make update_docs
+If everything was successful, you will see a message similar to this one:
+INFO - Your documentation should shortly be available at: https://hkir-dev.github.io/developing_human_brain_atlas_ontology/
+The release workflow recommended by the ODK is based on GitHub releases and works as follows:
+These steps are outlined in detail in the following.
+Preparation:
+git status should say that there are no modified files)git pull)git checkout -b release-2021-01-01)docker pull obolibrary/odkfullTo actually run the release, you:
+cd dhbao/src/ontology)sh run.sh make prepare_release -B. Note that for some ontologies, this process can take up to 90 minutes - especially if there are large ontologies you depend on, like PRO or CHEBI.Release files are now in ../.. - now you should commit, push and make a release on your git hosting site such as GitHub or GitLab.This will create all the specified release targets (OBO, OWL, JSON, and the variants, ont-full and ont-base) and copy them into your release directory (the top level of your repo).
+dhbao.obo - this reflects a useful subset of the whole ontology (everything that can be covered by OBO format). OBO format has that speaking for it: it is very easy to review!dhbao-base.owl - this reflects the asserted axioms in your ontology that you have actually edited.dhbao-full.owl, which may reveal interesting new inferences you did not know about. Note that the diff of this file is sometimes quite large.Once your CI checks have passed, and your reviews are completed, you can now merge the branch into your main branch (don't forget to delete the branch afterwards - a big button will appear after the merge is finished).
+dhbao.obo file and check the data-version: property. The date needs to be prefixed with a v, so, for example v2020-02-06.When you are dealing with large ontologies, you need a lot of memory. When you see error messages relating to large ontologies such as CHEBI, PRO, NCBITAXON, or Uberon, you should think of memory first, see here.
+Sometimes you will get cryptic error messages when using legacy tools using OBO format, such as the ontology release tool (OORT), which is also available as part of the ODK docker container. In these cases, you need to track down what axiom or annotation actually caused the breakdown. In our experience (in about 60% of the cases) the problem lies with duplicate annotations (def, comment) which are illegal in OBO. Here is an example recipe of how to deal with such a problem:
make: *** [cl.Makefile:84: oort] Error 255 you might have a OORT error. sh run.sh make IMP=false PAT=false oort -B (assuming you are already in the ontology folder in your directory) dhbao-edit.owl in Protégé and find the offending term and delete all offending issue (e.g. delete ALL definition, if the problem was "multiple def tags not allowed") and save.
+*While this is not idea, as it will remove all definitions from that term, it will be added back again when the term is fixed in the ontology it was imported from and added back in.sh run.sh make IMP=false PAT=false oort -B and if it all passes, commit your changes to a branch and make a pull request as usual.Your ODK repositories configuration is managed in src/ontology/dhbao-odk.yaml. Once you have made your changes, you can run the following to apply your changes to the repository:
sh run.sh make update_repo
+There are a large number of options that can be set to configure your ODK, but we will only discuss a few of them here.
+NOTE for Windows users:
+You may get a cryptic failure such as Set Illegal Option - if the update script located in src/scripts/update_repo.sh
+was saved using Windows Line endings. These need to change to unix line endings. In Notepad++, for example, you can
+click on Edit->EOL Conversion->Unix LF to change this.
You can use the update repository workflow described on this page to perform the following operations to your imports:
+We will discuss all these workflows in the following.
+To add a new import, you first edit your odk config as described above, adding an id to the product list in the import_group section (for the sake of this example, we assume you already import RO, and your goal is to also import GO):
import_group:
+ products:
+ - id: ro
+ - id: go
+Note: our ODK file should only have one import_group which can contain multiple imports (in the products section). Next, you run the update repo workflow to apply these changes. Note that by default, this module is going to be a SLME Bottom module, see here. To change that or customise your module, see section "Customise an import". To finalise the addition of your import, perform the following steps:
src/ontology/dhbao-edit.owl file. We suggest to do this using a text editor, by simply copying an existing import declaration and renaming it to the new ontology import, for example as follows:
+ ...
+Ontology(<https://purl.brain-bican.org/ontology/dhbao.owl>
+Import(<https://purl.brain-bican.org/ontology/dhbao/imports/ro_import.owl>)
+Import(<https://purl.brain-bican.org/ontology/dhbao/imports/go_import.owl>)
+...
+src/ontology/catalog-v001.xml, for example:
+ <uri name="http://purl.obolibrary.org/obo/dhbao/imports/go_import.owl" uri="imports/go_import.owl"/>
+Note: The catalog file src/ontology/catalog-v001.xml has one purpose: redirecting
+imports from URLs to local files. For example, if you have
Import(<http://purl.obolibrary.org/obo/dhbao/imports/go_import.owl>)
+in your editors file (the ontology) and
+<uri name="https://purl.brain-bican.org/ontology/dhbao/imports/go_import.owl" uri="imports/go_import.owl"/>
+in your catalog, tools like robot or Protégé will recognize the statement
+in the catalog file to redirect the URL http://purl.obolibrary.org/obo/dhbao/imports/go_import.owl
+to the local file imports/go_import.owl (which is in your src/ontology directory).
If you simply wish to refresh your import in light of new terms, see here. If you wish to change the type of your module see section "Customise an import".
+To remove an existing import, perform the following steps:
+src/ontology/dhbao-edit.owl.src/ontology/dhbao-odk.yaml, eg. - id: go from the list of products in the import_group.src/imports/go_import.owlsrc/imports/go_terms.txtsrc/ontology/catalog-v001.xml file.By default, an import module extracted from a source ontology will be a SLME module, see here. There are various options to change the default.
+The following change to your repo config (src/ontology/dhbao-odk.yaml) will switch the go import from an SLME module to a simple ROBOT filter module:
import_group:
+ products:
+ - id: ro
+ - id: go
+ module_type: filter
+A ROBOT filter module is, essentially, importing all external terms declared by your ontology (see here on how to declare external terms to be imported). Note that the filter module does
+not consider terms/annotations from namespaces other than the base-namespace of the ontology itself. For example, in the
+example of GO above, only annotations / axioms related to the GO base IRI (http://purl.obolibrary.org/obo/GO_) would be considered. This
+behaviour can be changed by adding additional base IRIs as follows:
import_group:
+ products:
+ - id: go
+ module_type: filter
+ base_iris:
+ - http://purl.obolibrary.org/obo/GO_
+ - http://purl.obolibrary.org/obo/CL_
+ - http://purl.obolibrary.org/obo/BFO
+If you wish to customise your import entirely, you can specify your own ROBOT command to do so. To do that, add the following to your repo config (src/ontology/dhbao-odk.yaml):
import_group:
+ products:
+ - id: ro
+ - id: go
+ module_type: custom
+Now add a new goal in your custom Makefile (src/ontology/dhbao.Makefile, not src/ontology/Makefile).
imports/go_import.owl: mirror/ro.owl imports/ro_terms_combined.txt
+ if [ $(IMP) = true ]; then $(ROBOT) query -i $< --update ../sparql/preprocess-module.ru \
+ extract -T imports/ro_terms_combined.txt --force true --individuals exclude --method BOT \
+ query --update ../sparql/inject-subset-declaration.ru --update ../sparql/postprocess-module.ru \
+ annotate --ontology-iri $(ONTBASE)/$@ $(ANNOTATE_ONTOLOGY_VERSION) --output $@.tmp.owl && mv $@.tmp.owl $@; fi
+Now feel free to change this goal to do whatever you wish it to do! It probably makes some sense (albeit not being a strict necessity), to leave most of the goal instead and replace only:
+extract -T imports/ro_terms_combined.txt --force true --individuals exclude --method BOT \
+to another ROBOT pipeline.
+A component is an import which belongs to your ontology, e.g. is managed by +you and your team.
+src/ontology/dhbao-odk.yamlcomponentscomponents section, add a new section called products.
+This is where all your components are specifiedproducts section, add a new component, e.g. - filename: mycomp.owlExample
+components:
+ products:
+ - filename: mycomp.owl
+When running sh run.sh make update_repo, a new file src/ontology/components/mycomp.owl will
+be created which you can edit as you see fit. Typical ways to edit:
components/mycomp.owl: make target in src/ontology/dhbao.Makefile
+and provide a custom command to generate the componentWARNING: Note that the custom rule to generate the component MUST NOT depend on any other ODK-generated file such as seed files and the like (see issue).src/ontology/dhbao-odk.yaml, source,
+to specify that this component should simply be downloaded from somewhere on the web.Since ODK 1.3.2, it is possible to simply link a ROBOT template to a component without having to specify any of the import logic. In order to add a new component that is connected to one or more template files, follow these steps:
+src/ontology/dhbao-odk.yaml.use_templates: TRUE is set in the global project options. You should also make sure that use_context: TRUE is set in case you are using prefixes in your templates that are not known to robot, such as OMOP:, CPONT: and more. All non-standard prefixes you are using should be added to config/context.json.products section.use_template: TRUE. This will create an empty template for you in the templates directory, which will automatically be processed when recreating the component (e.g. run.bat make recreate-mycomp).templates field to add as many template names as you wish. ODK will look for them in the src/templates directory.template_options field. This should be a string with option from robot template. One typical example for additional options you may want to provide is --add-prefixes config/context.json to ensure the prefix map of your context is provided to robot, see above.Example:
+components:
+ products:
+ - filename: mycomp.owl
+ use_template: TRUE
+ template_options: --add-prefixes config/context.json
+ templates:
+ - template1.tsv
+ - template2.tsv
+Note: if your mirror is particularly large and complex, read this ODK recommendation.
+ + + + + + +The main kinds of files in the repository:
+Release file are the file that are considered part of the official ontology release and to be used by the community. A detailed description of the release artefacts can be found here.
+Imports are subsets of external ontologies that contain terms and axioms you would like to re-use in your ontology. These are considered "external", like dependencies in software development, and are not included in your "base" product, which is the release artefact which contains only those axioms that you personally maintain.
+These are the current imports in DHBAO
+| Import | +URL | +Type | +
|---|---|---|
| uberon | +http://purl.obolibrary.org/obo/uberon.owl | +None | +
| ncbitaxon | +http://purl.obolibrary.org/obo/ncbitaxon/subsets/taxslim.owl | +None | +
Components, in contrast to imports, are considered full members of the ontology. This means that any axiom in a component is also included in the ontology base - which means it is considered native to the ontology. While this sounds complicated, consider this: conceptually, no component should be part of more than one ontology. If that seems to be the case, we are most likely talking about an import. Components are often not needed for ontologies, but there are some use cases:
+These are the components in DHBAO
+| Filename | +URL | +
|---|---|
| all_templates.owl | +None | +
One of the most frequent problems with running the ODK for the first time is failure because of lack of memory. This can look like a Java OutOfMemory exception,
+but more often than not it will appear as something like an Error 137. There are two places you need to consider to set your memory:
robot_java_args: '-Xmx8G' to your src/ontology/dhbao-odk.yaml file, see for example here.robot_java_args variable. You can manage your memory settings
+by right-clicking on the docker whale in your system bar-->Preferences-->Resources-->Advanced, see picture below.
This page discusses how to update the contents of your imports, like adding or removing terms. If you are looking to customise imports, like changing the module type, see here.
+Note: some ontologies now use a merged-import system to manage dynamic imports, for these please follow instructions in the section title "Using the Base Module approach".
+Importing a new term is split into two sub-phases:
+There are three ways to declare terms that are to be imported from an external ontology. Choose the appropriate one for your particular scenario (all three can be used in parallel if need be):
+This workflow is to be avoided, but may be appropriate if the editor does not have access to the ODK docker container. +This approach also applies to ontologies that use base module import approach.
+
Now you can use this term for example to construct logical definitions. The next time the imports are refreshed (see how to refresh here), the metadata (labels, definitions, etc.) for this term are imported from the respective external source ontology and becomes visible in your ontology.
+Every import has, by default a term file associated with it, which can be found in the imports directory. For example, if you have a GO import in src/ontology/go_import.owl, you will also have an associated term file src/ontology/go_terms.txt. You can add terms in there simply as a list:
GO:0008150
+GO:0008151
+Now you can run the refresh imports workflow) and the two terms will be imported.
+This workflow is appropriate if:
+To enable this workflow, you add the following to your ODK config file (src/ontology/dhbao-odk.yaml), and update the repository:
use_custom_import_module: TRUE
+Now you can manage your imported terms directly in the custom external terms template, which is located at src/templates/external_import.owl. Note that this file is a ROBOT template, and can, in principle, be extended to include any axioms you like. Before extending the template, however, read the following carefully.
The main purpose of the custom import template is to enable the management off all terms to be imported in a centralised place. To enable that, you do not have to do anything other than maintaining the template. So if you, say currently import APOLLO_SV:00000480, and you wish to import APOLLO_SV:00000532, you simply add a row like this:
ID Entity Type
+ID TYPE
+APOLLO_SV:00000480 owl:Class
+APOLLO_SV:00000532 owl:Class
+When the imports are refreshed see imports refresh workflow, the term(s) will simply be imported from the configured ontologies.
+Now, if you wish to extend the Makefile (which is beyond these instructions) and add, say, synonyms to the imported terms, you can do that, but you need to (a) preserve the ID and ENTITY columns and (b) ensure that the ROBOT template is valid otherwise, see here.
WARNING. Note that doing this is a widespread antipattern (see related issue). You should not change the axioms of terms that do not belong into your ontology unless necessary - such changes should always be pushed into the ontology where they belong. However, since people are doing it, whether the OBO Foundry likes it or not, at least using the custom imports module as described here localises the changes to a single simple template and ensures that none of the annotations added this way are merged into the base file.
+If you want to refresh the import yourself (this may be necessary to pass the travis tests), and you have the ODK installed, you can do the following (using go as an example):
+First, you navigate in your terminal to the ontology directory (underneath src in your hpo root directory). +
cd src/ontology
+Then, you regenerate the import that will now include any new terms you have added. Note: You must have docker installed.
+sh run.sh make PAT=false imports/go_import.owl -B
+Since ODK 1.2.27, it is also possible to simply run the following, which is the same as the above:
+sh run.sh make refresh-go
+Note that in case you changed the defaults, you need to add IMP=true and/or MIR=true to the command below:
sh run.sh make IMP=true MIR=true PAT=false imports/go_import.owl -B
+If you wish to skip refreshing the mirror, i.e. skip downloading the latest version of the source ontology for your import (e.g. go.owl for your go import) you can set MIR=false instead, which will do the exact same thing as the above, but is easier to remember:
sh run.sh make IMP=true MIR=false PAT=false imports/go_import.owl -B
+Since ODK 1.2.31, we support an entirely new approach to generate modules: Using base files. +The idea is to only import axioms from ontologies that actually belong to it. +A base file is a subset of the ontology that only contains those axioms that nominally +belong there. In other words, the base file does not contain any axioms that belong +to another ontology. An example would be this:
+Imagine this being the full Uberon ontology:
+Axiom 1: BFO:123 SubClassOf BFO:124
+Axiom 1: UBERON:123 SubClassOf BFO:123
+Axiom 1: UBERON:124 SubClassOf UBERON 123
+The base file is the set of all axioms that are about UBERON terms:
+Axiom 1: UBERON:123 SubClassOf BFO:123
+Axiom 1: UBERON:124 SubClassOf UBERON 123
+I.e.
+Axiom 1: BFO:123 SubClassOf BFO:124
+Gets removed.
+The base file pipeline is a bit more complex than the normal pipelines, because +of the logical interactions between the imported ontologies. This is solved by _first +merging all mirrors into one huge file and then extracting one mega module from it.
+Example: Let's say we are importing terms from Uberon, GO and RO in our ontologies. +When we use the base pipelines, we
+1) First obtain the base (usually by simply downloading it, but there is also an option now to create it with ROBOT)
+2) We merge all base files into one big pile
+3) Then we extract a single module imports/merged_import.owl
The first implementation of this pipeline is PATO, see https://github.com/pato-ontology/pato/blob/master/src/ontology/pato-odk.yaml.
+To check if your ontology uses this method, check src/ontology/dhbao-odk.yaml to see if use_base_merging: TRUE is declared under import_group
If your ontology uses Base Module approach, please use the following steps:
+First, add the term to be imported to the term file associated with it (see above "Using term files" section if this is not clear to you)
+Next, you navigate in your terminal to the ontology directory (underneath src in your hpo root directory). +
cd src/ontology
+Then refresh imports by running
+sh run.sh make imports/merged_import.owl
+sh run.sh make no-mirror-refresh-merged
+This requires quite a bit of memory on your local machine, so if you encounter an error, it might be a lack of memory on your computer. A solution would be to create a ticket in an issue tracker requesting for the term to be imported, and one of the local devs should pick this up and run the import for you.
+Lastly, restart Protégé, and the term should be imported in ready to be used.
+ + + + + + +For details on what components are, please see component section of repository file structure document.
+To add custom components to an ODK repo, please follow the following steps:
+1) Locate your odk yaml file and open it with your favourite text editor (src/ontology/dhbao-odk.yaml) +2) Search if there is already a component section to the yaml file, if not add it accordingly, adding the name of your component:
+components:
+ products:
+ - filename: your-component-name.owl
+3) Add the component to your catalog file (src/ontology/catalog-v001.xml)
+ <uri name="https://purl.brain-bican.org/ontology/dhbao/components/your-component-name.owl" uri="components/your-component-name.owl"/>
+4) Add the component to the edit file (src/ontology/dhbao-edit.obo) +for .obo formats:
+import: https://purl.brain-bican.org/ontology/dhbao/components/your-component-name.owl
+for .owl formats:
+Import(<https://purl.brain-bican.org/ontology/dhbao/components/your-component-name.owl>)
+5) Refresh your repo by running sh run.sh make update_repo - this should create a new file in src/ontology/components.
+6) In your custom makefile (src/ontology/dhbao.Makefile) add a goal for your custom make file. In this example, the goal is a ROBOT template.
$(COMPONENTSDIR)/your-component-name.owl: $(SRC) ../templates/your-component-template.tsv
+ $(ROBOT) template --template ../templates/your-component-template.tsv \
+ annotate --ontology-iri $(ONTBASE)/$@ --output $(COMPONENTSDIR)/your-component-name.owl
+(If using a ROBOT template, do not forget to add your template tsv in src/templates/)
+7) Make the file by running sh run.sh make components/your-component-name.owl
Welcome to the DHBAO documentation!
You can find descriptions of the standard ontology engineering workflows here.
"},{"location":"cite/","title":"How to cite DHBAO","text":""},{"location":"contributing/","title":"How to contribute to DHBAO","text":""},{"location":"main-flow/","title":"Build Process Flow","text":"Project build process works as follows:
Historically, most repos have been using Travis CI for continuous integration testing and building, but due to runtime restrictions, we recently switched a lot of our repos to GitHub actions. You can set up your repo with CI by adding this to your configuration file (src/ontology/dhbao-odk.yaml):
ci:\n - github_actions\nWhen updateing your repo, you will notice a new file being added: .github/workflows/qc.yml.
This file contains your CI logic, so if you need to change, or add anything, this is the place!
Alternatively, if your repo is in GitLab instead of GitHub, you can set up your repo with GitLab CI by adding this to your configuration file (src/ontology/dhbao-odk.yaml):
ci:\n - gitlab-ci\nThis will add a file called .gitlab-ci.yml in the root of your repo.
The editors workflow is one of the formal workflows to ensure that the ontology is developed correctly according to ontology engineering principles. There are a few different editors workflows:
This document only covers the first editing workflow, but more will be added in the future
"},{"location":"odk-workflows/EditorsWorkflow/#local-editing-workflow","title":"Local editing workflow","text":"Workflow requirements:
Ensure that there is a ticket on your issue tracker that describes the change you are about to make. While this seems optional, this is a very important part of the social contract of building an ontology - no change to the ontology should be performed without a good ticket, describing the motivation and nature of the intended change.
"},{"location":"odk-workflows/EditorsWorkflow/#2-update-main-branch","title":"2. Update main branch","text":"In your local environment (e.g. your laptop), make sure you are on the main (prev. master) branch and ensure that you have all the upstream changes, for example:
git checkout main\ngit pull\nCreate a new branch. Per convention, we try to use meaningful branch names such as: - issue23removeprocess (where issue 23 is the related issue on GitHub) - issue26addcontributor - release20210101 (for releases)
On your command line, this looks like this:
git checkout -b issue23removeprocess\nUsing your editor of choice, perform the intended edit. For example:
Prot\u00e9g\u00e9
src/ontology/dhbao-edit.owl in Prot\u00e9g\u00e9TextEdit
src/ontology/dhbao-edit.owl in TextEdit (or Sublime, Atom, Vim, Nano)Consider the following when making the edit.
src/ontology/dhbao-edit.owlsrc/ontology/components), see here.This step is very important. Rather than simply trusting your change had the intended effect, we should always use a git diff as a first pass for sanity checking.
In our experience, having a visual git client like GitHub Desktop or sourcetree is really helpful for this part. In case you prefer the command line:
git status\ngit diff\nNow it's time to run your quality control checks. This can either happen locally (5a) or through your continuous integration system (7/5b).
"},{"location":"odk-workflows/EditorsWorkflow/#5a-local-testing","title":"5a. Local testing","text":"If you chose to run your test locally:
sh run.sh make IMP=false test\nPAT=false to skip the potentially lengthy process of rebuilding the patterns. sh run.sh make IMP=false PAT=false test\nWhen you are happy with the changes, you commit your changes to your feature branch, push them upstream (to GitHub) and create a pull request. For example:
git add NAMEOFCHANGEDFILES\ngit commit -m \"Added biological process term #12\"\ngit push -u origin issue23removeprocess\nThen you go to your project on GitHub, and create a new pull request from the branch, for example: https://github.com/INCATools/ontology-development-kit/pulls
There is a lot of great advise on how to write pull requests, but at the very least you should: - mention the tickets affected: see #23 to link to a related ticket, or fixes #23 if, by merging this pull request, the ticket is fixed. Tickets in the latter case will be closed automatically by GitHub when the pull request is merged. - summarise the changes in a few sentences. Consider the reviewer: what would they want to know right away. - If the diff is large, provide instructions on how to review the pull request best (sometimes, there are many changed files, but only one important change).
If you didn't run and local quality control checks (see 5a), you should have Continuous Integration (CI) set up, for example: - Travis - GitHub Actions
More on how to set this up here. Once the pull request is created, the CI will automatically trigger. If all is fine, it will show up green, otherwise red.
"},{"location":"odk-workflows/EditorsWorkflow/#8-community-review","title":"8. Community review","text":"Once all the automatic tests have passed, it is important to put a second set of eyes on the pull request. Ontologies are inherently social - as in that they represent some kind of community consensus on how a domain is organised conceptually. This seems high brow talk, but it is very important that as an ontology editor, you have your work validated by the community you are trying to serve (e.g. your colleagues, other contributors etc.). In our experience, it is hard to get more than one review on a pull request - two is great. You can set up GitHub branch protection to actually require a review before a pull request can be merged! We recommend this.
This step seems daunting to some hopefully under-resourced ontologies, but we recommend to put this high up on your list of priorities - train a colleague, reach out!
"},{"location":"odk-workflows/EditorsWorkflow/#9-merge-and-cleanup","title":"9. Merge and cleanup","text":"When the QC is green and the reviews are in (approvals), it is time to merge the pull request. After the pull request is merged, remember to delete the branch as well (this option will show up as a big button right after you have merged the pull request). If you have not done so, close all the associated tickets fixed by the pull request.
"},{"location":"odk-workflows/EditorsWorkflow/#10-changelog-optional","title":"10. Changelog (Optional)","text":"It is sometimes difficult to keep track of changes made to an ontology. Some ontology teams opt to document changes in a changelog (simply a text file in your repository) so that when release day comes, you know everything you have changed. This is advisable at least for major changes (such as a new release system, a new pattern or template etc.).
"},{"location":"odk-workflows/ManageAutomatedTest/","title":"Managing your automated testing","text":""},{"location":"odk-workflows/ManageAutomatedTest/#constraint-violation-checks","title":"Constraint violation checks","text":"We can define custom checks using SPARQL. SPARQL queries define bad modelling patterns (missing labels, misspelt URIs, and many more) in the ontology. If these queries return any results, then the build will fail. Custom checks are designed to be run as part of GitHub Actions Continuous Integration testing, but they can also run locally.
"},{"location":"odk-workflows/ManageAutomatedTest/#steps-to-add-a-constraint-violation-check","title":"Steps to add a constraint violation check:","text":"src/sparql. The name of the file should end with -violation.sparql. Please give a name that helps to understand which violation the query wants to check.src/ontology/uberon-odk.yaml:-violation.sparql part) to the list inside the key custom_sparql_checks that is inside robot_report key.If the robot_report or custom_sparql_checks keys are not available, please add this code block to the end of the file.
robot_report:\nrelease_reports: False\nfail_on: ERROR\nuse_labels: False\ncustom_profile: True\nreport_on:\n- edit\ncustom_sparql_checks:\n- name-of-the-file-check\nsh run.sh make update_repo\nThe documentation for DHBAO is managed in two places (relative to the repository root):
docs directory contains all the files that pertain to the content of the documentation (more below)mkdocs.yaml file contains the documentation config, in particular its navigation bar and theme.The documentation is hosted using GitHub pages, on a special branch of the repository (called gh-pages). It is important that this branch is never deleted - it contains all the files GitHub pages needs to render and deploy the site. It is also important to note that the gh-pages branch should never be edited manually. All changes to the docs happen inside the docs directory on the main branch.
All the documentation is contained in the docs directory, and is managed in Markdown. Markdown is a very simple and convenient way to produce text documents with formatting instructions, and is very easy to learn - it is also used, for example, in GitHub issues. This is a normal editing workflow:
.md file you want to change in an editor of choice (a simple text editor is often best). IMPORTANT: Do not edit any files in the docs/odk-workflows/ directory. These files are managed by the ODK system and will be overwritten when the repository is upgraded! If you wish to change these files, make an issue on the ODK issue tracker.The documentation is not automatically updated from the Markdown, and needs to be deployed deliberately. To do this, perform the following steps:
cd dhbao/src/ontology\nsh run.sh make update_docs\nIf everything was successful, you will see a message similar to this one:
INFO - Your documentation should shortly be available at: https://hkir-dev.github.io/developing_human_brain_atlas_ontology/ \nThe release workflow recommended by the ODK is based on GitHub releases and works as follows:
These steps are outlined in detail in the following.
"},{"location":"odk-workflows/ReleaseWorkflow/#run-a-release-with-the-odk","title":"Run a release with the ODK","text":"Preparation:
git status should say that there are no modified files)git pull)git checkout -b release-2021-01-01)docker pull obolibrary/odkfullTo actually run the release, you:
cd dhbao/src/ontology)sh run.sh make prepare_release -B. Note that for some ontologies, this process can take up to 90 minutes - especially if there are large ontologies you depend on, like PRO or CHEBI.Release files are now in ../.. - now you should commit, push and make a release on your git hosting site such as GitHub or GitLab.This will create all the specified release targets (OBO, OWL, JSON, and the variants, ont-full and ont-base) and copy them into your release directory (the top level of your repo).
"},{"location":"odk-workflows/ReleaseWorkflow/#review-the-release","title":"Review the release","text":"dhbao.obo - this reflects a useful subset of the whole ontology (everything that can be covered by OBO format). OBO format has that speaking for it: it is very easy to review!dhbao-base.owl - this reflects the asserted axioms in your ontology that you have actually edited.dhbao-full.owl, which may reveal interesting new inferences you did not know about. Note that the diff of this file is sometimes quite large.Once your CI checks have passed, and your reviews are completed, you can now merge the branch into your main branch (don't forget to delete the branch afterwards - a big button will appear after the merge is finished).
"},{"location":"odk-workflows/ReleaseWorkflow/#create-a-github-release","title":"Create a GitHub release","text":"dhbao.obo file and check the data-version: property. The date needs to be prefixed with a v, so, for example v2020-02-06.When you are dealing with large ontologies, you need a lot of memory. When you see error messages relating to large ontologies such as CHEBI, PRO, NCBITAXON, or Uberon, you should think of memory first, see here.
"},{"location":"odk-workflows/ReleaseWorkflow/#problems-when-using-obo-format-based-tools","title":"Problems when using OBO format based tools","text":"Sometimes you will get cryptic error messages when using legacy tools using OBO format, such as the ontology release tool (OORT), which is also available as part of the ODK docker container. In these cases, you need to track down what axiom or annotation actually caused the breakdown. In our experience (in about 60% of the cases) the problem lies with duplicate annotations (def, comment) which are illegal in OBO. Here is an example recipe of how to deal with such a problem:
make: *** [cl.Makefile:84: oort] Error 255 you might have a OORT error. sh run.sh make IMP=false PAT=false oort -B (assuming you are already in the ontology folder in your directory) dhbao-edit.owl in Prot\u00e9g\u00e9 and find the offending term and delete all offending issue (e.g. delete ALL definition, if the problem was \"multiple def tags not allowed\") and save. *While this is not idea, as it will remove all definitions from that term, it will be added back again when the term is fixed in the ontology it was imported from and added back in.sh run.sh make IMP=false PAT=false oort -B and if it all passes, commit your changes to a branch and make a pull request as usual.Your ODK repositories configuration is managed in src/ontology/dhbao-odk.yaml. Once you have made your changes, you can run the following to apply your changes to the repository:
sh run.sh make update_repo\nThere are a large number of options that can be set to configure your ODK, but we will only discuss a few of them here.
NOTE for Windows users:
You may get a cryptic failure such as Set Illegal Option - if the update script located in src/scripts/update_repo.sh was saved using Windows Line endings. These need to change to unix line endings. In Notepad++, for example, you can click on Edit->EOL Conversion->Unix LF to change this.
You can use the update repository workflow described on this page to perform the following operations to your imports:
We will discuss all these workflows in the following.
"},{"location":"odk-workflows/RepoManagement/#add-new-import","title":"Add new import","text":"To add a new import, you first edit your odk config as described above, adding an id to the product list in the import_group section (for the sake of this example, we assume you already import RO, and your goal is to also import GO):
import_group:\n products:\n - id: ro\n - id: go\nNote: our ODK file should only have one import_group which can contain multiple imports (in the products section). Next, you run the update repo workflow to apply these changes. Note that by default, this module is going to be a SLME Bottom module, see here. To change that or customise your module, see section \"Customise an import\". To finalise the addition of your import, perform the following steps:
src/ontology/dhbao-edit.owl file. We suggest to do this using a text editor, by simply copying an existing import declaration and renaming it to the new ontology import, for example as follows: ...\nOntology(<https://purl.brain-bican.org/ontology/dhbao.owl>\nImport(<https://purl.brain-bican.org/ontology/dhbao/imports/ro_import.owl>)\nImport(<https://purl.brain-bican.org/ontology/dhbao/imports/go_import.owl>)\n...\nsrc/ontology/catalog-v001.xml, for example: <uri name=\"http://purl.obolibrary.org/obo/dhbao/imports/go_import.owl\" uri=\"imports/go_import.owl\"/>\nNote: The catalog file src/ontology/catalog-v001.xml has one purpose: redirecting imports from URLs to local files. For example, if you have
Import(<http://purl.obolibrary.org/obo/dhbao/imports/go_import.owl>)\nin your editors file (the ontology) and
<uri name=\"https://purl.brain-bican.org/ontology/dhbao/imports/go_import.owl\" uri=\"imports/go_import.owl\"/>\nin your catalog, tools like robot or Prot\u00e9g\u00e9 will recognize the statement in the catalog file to redirect the URL http://purl.obolibrary.org/obo/dhbao/imports/go_import.owl to the local file imports/go_import.owl (which is in your src/ontology directory).
If you simply wish to refresh your import in light of new terms, see here. If you wish to change the type of your module see section \"Customise an import\".
"},{"location":"odk-workflows/RepoManagement/#remove-an-existing-import","title":"Remove an existing import","text":"To remove an existing import, perform the following steps:
src/ontology/dhbao-edit.owl.src/ontology/dhbao-odk.yaml, eg. - id: go from the list of products in the import_group.src/imports/go_import.owlsrc/imports/go_terms.txtsrc/ontology/catalog-v001.xml file.By default, an import module extracted from a source ontology will be a SLME module, see here. There are various options to change the default.
The following change to your repo config (src/ontology/dhbao-odk.yaml) will switch the go import from an SLME module to a simple ROBOT filter module:
import_group:\n products:\n - id: ro\n - id: go\n module_type: filter\nA ROBOT filter module is, essentially, importing all external terms declared by your ontology (see here on how to declare external terms to be imported). Note that the filter module does not consider terms/annotations from namespaces other than the base-namespace of the ontology itself. For example, in the example of GO above, only annotations / axioms related to the GO base IRI (http://purl.obolibrary.org/obo/GO_) would be considered. This behaviour can be changed by adding additional base IRIs as follows:
import_group:\n products:\n - id: go\n module_type: filter\n base_iris:\n - http://purl.obolibrary.org/obo/GO_\n - http://purl.obolibrary.org/obo/CL_\n - http://purl.obolibrary.org/obo/BFO\nIf you wish to customise your import entirely, you can specify your own ROBOT command to do so. To do that, add the following to your repo config (src/ontology/dhbao-odk.yaml):
import_group:\n products:\n - id: ro\n - id: go\n module_type: custom\nNow add a new goal in your custom Makefile (src/ontology/dhbao.Makefile, not src/ontology/Makefile).
imports/go_import.owl: mirror/ro.owl imports/ro_terms_combined.txt\n if [ $(IMP) = true ]; then $(ROBOT) query -i $< --update ../sparql/preprocess-module.ru \\\n extract -T imports/ro_terms_combined.txt --force true --individuals exclude --method BOT \\\n query --update ../sparql/inject-subset-declaration.ru --update ../sparql/postprocess-module.ru \\\n annotate --ontology-iri $(ONTBASE)/$@ $(ANNOTATE_ONTOLOGY_VERSION) --output $@.tmp.owl && mv $@.tmp.owl $@; fi\nNow feel free to change this goal to do whatever you wish it to do! It probably makes some sense (albeit not being a strict necessity), to leave most of the goal instead and replace only:
extract -T imports/ro_terms_combined.txt --force true --individuals exclude --method BOT \\\nto another ROBOT pipeline.
"},{"location":"odk-workflows/RepoManagement/#add-a-component","title":"Add a component","text":"A component is an import which belongs to your ontology, e.g. is managed by you and your team.
src/ontology/dhbao-odk.yamlcomponentscomponents section, add a new section called products. This is where all your components are specifiedproducts section, add a new component, e.g. - filename: mycomp.owlExample
components:\n products:\n - filename: mycomp.owl\nWhen running sh run.sh make update_repo, a new file src/ontology/components/mycomp.owl will be created which you can edit as you see fit. Typical ways to edit:
components/mycomp.owl: make target in src/ontology/dhbao.Makefile and provide a custom command to generate the componentWARNING: Note that the custom rule to generate the component MUST NOT depend on any other ODK-generated file such as seed files and the like (see issue).src/ontology/dhbao-odk.yaml, source, to specify that this component should simply be downloaded from somewhere on the web.Since ODK 1.3.2, it is possible to simply link a ROBOT template to a component without having to specify any of the import logic. In order to add a new component that is connected to one or more template files, follow these steps:
src/ontology/dhbao-odk.yaml.use_templates: TRUE is set in the global project options. You should also make sure that use_context: TRUE is set in case you are using prefixes in your templates that are not known to robot, such as OMOP:, CPONT: and more. All non-standard prefixes you are using should be added to config/context.json.products section.use_template: TRUE. This will create an empty template for you in the templates directory, which will automatically be processed when recreating the component (e.g. run.bat make recreate-mycomp).templates field to add as many template names as you wish. ODK will look for them in the src/templates directory.template_options field. This should be a string with option from robot template. One typical example for additional options you may want to provide is --add-prefixes config/context.json to ensure the prefix map of your context is provided to robot, see above.Example:
components:\n products:\n - filename: mycomp.owl\n use_template: TRUE\n template_options: --add-prefixes config/context.json\n templates:\n - template1.tsv\n - template2.tsv\nNote: if your mirror is particularly large and complex, read this ODK recommendation.
"},{"location":"odk-workflows/RepositoryFileStructure/","title":"Repository structure","text":"The main kinds of files in the repository:
Release file are the file that are considered part of the official ontology release and to be used by the community. A detailed description of the release artefacts can be found here.
"},{"location":"odk-workflows/RepositoryFileStructure/#imports","title":"Imports","text":"Imports are subsets of external ontologies that contain terms and axioms you would like to re-use in your ontology. These are considered \"external\", like dependencies in software development, and are not included in your \"base\" product, which is the release artefact which contains only those axioms that you personally maintain.
These are the current imports in DHBAO
Import URL Type uberon http://purl.obolibrary.org/obo/uberon.owl None ncbitaxon http://purl.obolibrary.org/obo/ncbitaxon/subsets/taxslim.owl None"},{"location":"odk-workflows/RepositoryFileStructure/#components","title":"Components","text":"Components, in contrast to imports, are considered full members of the ontology. This means that any axiom in a component is also included in the ontology base - which means it is considered native to the ontology. While this sounds complicated, consider this: conceptually, no component should be part of more than one ontology. If that seems to be the case, we are most likely talking about an import. Components are often not needed for ontologies, but there are some use cases:
These are the components in DHBAO
Filename URL all_templates.owl None"},{"location":"odk-workflows/SettingUpDockerForODK/","title":"Setting up your Docker environment for ODK use","text":"One of the most frequent problems with running the ODK for the first time is failure because of lack of memory. This can look like a Java OutOfMemory exception, but more often than not it will appear as something like an Error 137. There are two places you need to consider to set your memory:
robot_java_args: '-Xmx8G' to your src/ontology/dhbao-odk.yaml file, see for example here.robot_java_args variable. You can manage your memory settings by right-clicking on the docker whale in your system bar-->Preferences-->Resources-->Advanced, see picture below.This page discusses how to update the contents of your imports, like adding or removing terms. If you are looking to customise imports, like changing the module type, see here.
"},{"location":"odk-workflows/UpdateImports/#importing-a-new-term","title":"Importing a new term","text":"Note: some ontologies now use a merged-import system to manage dynamic imports, for these please follow instructions in the section title \"Using the Base Module approach\".
Importing a new term is split into two sub-phases:
There are three ways to declare terms that are to be imported from an external ontology. Choose the appropriate one for your particular scenario (all three can be used in parallel if need be):
This workflow is to be avoided, but may be appropriate if the editor does not have access to the ODK docker container. This approach also applies to ontologies that use base module import approach.
Now you can use this term for example to construct logical definitions. The next time the imports are refreshed (see how to refresh here), the metadata (labels, definitions, etc.) for this term are imported from the respective external source ontology and becomes visible in your ontology.
"},{"location":"odk-workflows/UpdateImports/#using-term-files","title":"Using term files","text":"Every import has, by default a term file associated with it, which can be found in the imports directory. For example, if you have a GO import in src/ontology/go_import.owl, you will also have an associated term file src/ontology/go_terms.txt. You can add terms in there simply as a list:
GO:0008150\nGO:0008151\nNow you can run the refresh imports workflow) and the two terms will be imported.
"},{"location":"odk-workflows/UpdateImports/#using-the-custom-import-template","title":"Using the custom import template","text":"This workflow is appropriate if:
To enable this workflow, you add the following to your ODK config file (src/ontology/dhbao-odk.yaml), and update the repository:
use_custom_import_module: TRUE\nNow you can manage your imported terms directly in the custom external terms template, which is located at src/templates/external_import.owl. Note that this file is a ROBOT template, and can, in principle, be extended to include any axioms you like. Before extending the template, however, read the following carefully.
The main purpose of the custom import template is to enable the management off all terms to be imported in a centralised place. To enable that, you do not have to do anything other than maintaining the template. So if you, say currently import APOLLO_SV:00000480, and you wish to import APOLLO_SV:00000532, you simply add a row like this:
ID Entity Type\nID TYPE\nAPOLLO_SV:00000480 owl:Class\nAPOLLO_SV:00000532 owl:Class\nWhen the imports are refreshed see imports refresh workflow, the term(s) will simply be imported from the configured ontologies.
Now, if you wish to extend the Makefile (which is beyond these instructions) and add, say, synonyms to the imported terms, you can do that, but you need to (a) preserve the ID and ENTITY columns and (b) ensure that the ROBOT template is valid otherwise, see here.
WARNING. Note that doing this is a widespread antipattern (see related issue). You should not change the axioms of terms that do not belong into your ontology unless necessary - such changes should always be pushed into the ontology where they belong. However, since people are doing it, whether the OBO Foundry likes it or not, at least using the custom imports module as described here localises the changes to a single simple template and ensures that none of the annotations added this way are merged into the base file.
"},{"location":"odk-workflows/UpdateImports/#refresh-imports","title":"Refresh imports","text":"If you want to refresh the import yourself (this may be necessary to pass the travis tests), and you have the ODK installed, you can do the following (using go as an example):
First, you navigate in your terminal to the ontology directory (underneath src in your hpo root directory).
cd src/ontology\nThen, you regenerate the import that will now include any new terms you have added. Note: You must have docker installed.
sh run.sh make PAT=false imports/go_import.owl -B\nSince ODK 1.2.27, it is also possible to simply run the following, which is the same as the above:
sh run.sh make refresh-go\nNote that in case you changed the defaults, you need to add IMP=true and/or MIR=true to the command below:
sh run.sh make IMP=true MIR=true PAT=false imports/go_import.owl -B\nIf you wish to skip refreshing the mirror, i.e. skip downloading the latest version of the source ontology for your import (e.g. go.owl for your go import) you can set MIR=false instead, which will do the exact same thing as the above, but is easier to remember:
sh run.sh make IMP=true MIR=false PAT=false imports/go_import.owl -B\nSince ODK 1.2.31, we support an entirely new approach to generate modules: Using base files. The idea is to only import axioms from ontologies that actually belong to it. A base file is a subset of the ontology that only contains those axioms that nominally belong there. In other words, the base file does not contain any axioms that belong to another ontology. An example would be this:
Imagine this being the full Uberon ontology:
Axiom 1: BFO:123 SubClassOf BFO:124\nAxiom 1: UBERON:123 SubClassOf BFO:123\nAxiom 1: UBERON:124 SubClassOf UBERON 123\nThe base file is the set of all axioms that are about UBERON terms:
Axiom 1: UBERON:123 SubClassOf BFO:123\nAxiom 1: UBERON:124 SubClassOf UBERON 123\nI.e.
Axiom 1: BFO:123 SubClassOf BFO:124\nGets removed.
The base file pipeline is a bit more complex than the normal pipelines, because of the logical interactions between the imported ontologies. This is solved by _first merging all mirrors into one huge file and then extracting one mega module from it.
Example: Let's say we are importing terms from Uberon, GO and RO in our ontologies. When we use the base pipelines, we
1) First obtain the base (usually by simply downloading it, but there is also an option now to create it with ROBOT) 2) We merge all base files into one big pile 3) Then we extract a single module imports/merged_import.owl
The first implementation of this pipeline is PATO, see https://github.com/pato-ontology/pato/blob/master/src/ontology/pato-odk.yaml.
To check if your ontology uses this method, check src/ontology/dhbao-odk.yaml to see if use_base_merging: TRUE is declared under import_group
If your ontology uses Base Module approach, please use the following steps:
First, add the term to be imported to the term file associated with it (see above \"Using term files\" section if this is not clear to you)
Next, you navigate in your terminal to the ontology directory (underneath src in your hpo root directory).
cd src/ontology\nThen refresh imports by running
sh run.sh make imports/merged_import.owl\nsh run.sh make no-mirror-refresh-merged This requires quite a bit of memory on your local machine, so if you encounter an error, it might be a lack of memory on your computer. A solution would be to create a ticket in an issue tracker requesting for the term to be imported, and one of the local devs should pick this up and run the import for you.
Lastly, restart Prot\u00e9g\u00e9, and the term should be imported in ready to be used.
"},{"location":"odk-workflows/components/","title":"Adding components to an ODK repo","text":"For details on what components are, please see component section of repository file structure document.
To add custom components to an ODK repo, please follow the following steps:
1) Locate your odk yaml file and open it with your favourite text editor (src/ontology/dhbao-odk.yaml) 2) Search if there is already a component section to the yaml file, if not add it accordingly, adding the name of your component:
components:\n products:\n - filename: your-component-name.owl\n3) Add the component to your catalog file (src/ontology/catalog-v001.xml)
<uri name=\"https://purl.brain-bican.org/ontology/dhbao/components/your-component-name.owl\" uri=\"components/your-component-name.owl\"/>\n4) Add the component to the edit file (src/ontology/dhbao-edit.obo) for .obo formats:
import: https://purl.brain-bican.org/ontology/dhbao/components/your-component-name.owl\nfor .owl formats:
Import(<https://purl.brain-bican.org/ontology/dhbao/components/your-component-name.owl>)\n5) Refresh your repo by running sh run.sh make update_repo - this should create a new file in src/ontology/components. 6) In your custom makefile (src/ontology/dhbao.Makefile) add a goal for your custom make file. In this example, the goal is a ROBOT template.
$(COMPONENTSDIR)/your-component-name.owl: $(SRC) ../templates/your-component-template.tsv \n $(ROBOT) template --template ../templates/your-component-template.tsv \\\n annotate --ontology-iri $(ONTBASE)/$@ --output $(COMPONENTSDIR)/your-component-name.owl\n(If using a ROBOT template, do not forget to add your template tsv in src/templates/)
7) Make the file by running sh run.sh make components/your-component-name.owl