KMST Project

This project was made as a part of the course Knowledge Modelling and Semantic Technologies.

An E-Tourguide web app powered by semantic web.

Features

• Various locations inside and outside of India.
• Support for Cuisines, Historic sites and Tourist attractions.
• Uses multiple datasets.
  • DBpedia
  • WikiData
  • MealDB and Wikipedia for linked images.
• Sterling input query searching procedure covering for the absence of data linking.
• Retrieving the coordinates of the locations and linking to google maps location.
• SPARQL Query generation and querying on the client-side for faster retrieval.
• Retrieves and unfurls the linked images from MealDB and Wikipedia for better UI.
• Easy to run, setup and deploy.
  • Deployed on Heroku - https://calm-waters-88173.herokuapp.com/

Future Scope

• Intelligently suggesting places, based on the user’s location and other past information.
• Better UI and design.
• Supporting for more places, for example, USA state-wise and megacities of the world.

To install and run project locally

$ git clone https://github.com/rohitsanjay/KMSTProject
$ cd KMSTProject
$ npm install
$ npm start

Links

• Slides: https://docs.google.com/presentation/d/1YqeeA6_uRd9zjd89_YaK0w2SV4VtyWqgMxPF6QC6z7M
• Live Project: https://calm-waters-88173.herokuapp.com/
• This repo: https://github.com/rohitsanjay/KMSTProject