CS7IS1-202223 Group J Project

Description

To design and build an interactive ontology-driven application based on:

• at least TWO open data-sets
• domain (e.g. Crime, Planning, Health, Finance, etc...)

Any dataset chosen:

• must not already have an RDF version published
• Must be open public data

Requirements

1. Define a set of 10 questions that users of the application will be able to answer from the combined data and which are not answerable alone by querying over a single dataset. (Note marks available for uniqueness/novelty of chosen domain)

2. Create an OWL ontology to represent the relevant human readable terms and concepts that span both data-sets.

   • Design classes that could be used to link your datasets (e.g. two datasets about two different car brands could be linked using the class "car")
   • Where possible reuse of existing vocabularies/ontologies that are standard for specific domain
   • Use a light-weight ontology to model extra features needed to answer their particular
   • Remember to validate your ontology questions.

3. Uplift the external data instances using R2RML mappings into your model using reused and your own vocabularies

4. Build a basic query interface to allow you at runtime execute a set of SPARQL queries based on your use case questions

Characteristics of the Ontology:

• Must have at least 10 classes
• Must have at least 10 properties
• Provide cardinalities for properties
• Include at least one example property of each of the following types: symmetric, inverse, transitive
• Reuse from other ontologies and vocabularies as appropriate - Expand existing ontologies with your own classes and properties if necessary - Good place to search for ontologies and vocabularies: https://lov.linkeddata.es/dataset/lov/

Installation

Usage

Authors and acknowledgment

• Finn
• Oisin
• Sanil
• Yannick
• Liam
• Declan

License

Project status

1. ✅ Demo: Group Interim Progress

2. ⏳Documentation

   • ✅ OWL ontology model & ./documentation/owl_ontology.owl
   • ✅ Documented R2RML mappings
   • ✅ Documented SPARQL queries
   • ✅ Application code for Application Query Interface
   • ✅ Original and uplifted datasets
   • ✅ Electronic versions – for a,b,c use WIDOCO https://dgarijo.github.io/Widoco/
     • ✅ understand examples from WIDOCO github before attempting to use in your own project
     • ✅ Note the html file generated with WIDOCO can be edited if needed with additional information (e.g. the SPARQL queries in a new section).

3. ✅ Technical Report

   • ✅ Approach to Ontology Modelling
     • ✅ Description of Competency Questions that ontology answers
     • ✅ Description of datasets selected for application
     • ✅ Assumptions made
     • References to sources used/reused e.g. SIOC, FOAF for people
     • ✅ Discussion of your data mapping process
     • ✅ Explanation of use of inverse, symmetric and transitive properties
   • ✅ Overview of Design
     • ✅ Description of Application Query Interface
     • ✅ Description of Queries
   • ✅ Discussion of challenges faced while ontology modelling or creating queries and mappings
     • ✅ Report how you organised your project (e.g. meetings, common google doc ...).
   • ✅ Conclusions: Self reflection of group on Strengths/weakness of ontology model, queries & interface

4. ✅ Self Reflection Report

   • ✅ What you contributed
   • ✅ Reflection strengths and weaknesses of own contribution and of group work