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Semantic Web and assisted access to information

449-1 Semantic Web and assisted access to information Computer Science S9
Lessons : 6 h TD : 0 h TP : 4 h Project : 0 h Total : 10 h
Co-ordinator : Christine Porquet
Prerequisite
XML technologies
Course Objectives
Discover what lies behind the names of "semantic web" and "assisted access to information".
Syllabus
This course is divided into two parts:
1. Semantic Web: Challenges and technologies:
- Linking Open Data: Towards a web of data (eg DBpedia);
- Metadata (eg Dublin Core Meta);
- RDF (Resource Description Framework) and RDF Schema for the modelling of data and the relationships between them (objects, classes, properties);
- SPARQL for querying RDF data;
- OWL (Ontology Web Language) for modelling ontologies based on description logic.
2. Assisted access to information:
- Information search: indexing, vector space model (TF-IDF and Salton law) and its enhancements (eg. Google's PageRank algorithm);
- Contributions of NLP (Natural Language Processing) for information retrieval: automatic generation of answers in natural language, automatic summary.
Practical work (TD or TP)
- Writing SPARQL queries to query the DBpedia database.
- Implementation of a search engine based on the TF-IDF index and the Salton Law.
Acquired skills
- Knowledge about ontologies, the semantic web and the web of data.
- Mastery of RDF, OWL and SPARQL.
- Notions of document indexing and natural language processing.
Bibliography
- F. Gandon, O. Corby, C. Faron-Zucker, Le web sémantique: Comment lier les données et les schémas sur le web?, Dunod, 2012
- D. Allemang, J. Hendler, Semantic web for the working ontologist: Effective Modeling in RDFS and OWL, Morgan Kaufmann, 2008
- G. Antoniou , F. van Harmeten, A Semantic Web Primer, MIT Press, 2004

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