449-1 | Semantic Web and assisted access to information | Computer Science | S9 | ||||||
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Lessons : 6 h | TD : 0 h | TP : 4 h | Project : 0 h | Total : 10 h | |||||
Co-ordinator : Christine Porquet |
Prerequisite | |
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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. |
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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. |
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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. |
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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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