teaching

Information Retrieval

  • Introduction to Information Retrieval.
  • Search engine architecture:
    • web crawler
    • basic text analysis techniques
    • inverted index
    • query processing
    • search result interface
  • IR models:
    • Boolean.
    • Vector space.
  • Evaluation in Information Retrieval
  • Relevance feedback and query expansion.
  • Link analysis.
  • Search Applications: Question answering, Social Search.

Semantic Web

  • Introduction to semantic Web
  • Semantic Web Basic Architecture:
    • RDF
    • RDF Schema
    • SPARQL Knowledge representation:
    • Ontology
    • Logic
    • OWL
  • Semantic application: Ontological Engineering , Semantic Web and linking data