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Semantics and Ontology

Semantics and Ontology. RDF and OWL. Contents. Present data Problems and limitations Ontology and OWL Semantics and RDF Perspectives and limitations. Data sources. File system (pure data) Program itself (variables, OOP ) Relational Database (SQL/PL) Service (WSDL+SOAP, RSS etc.)

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Semantics and Ontology

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  1. Semantics and Ontology RDF and OWL

  2. Contents • Present data • Problems and limitations • Ontology and OWL • Semantics and RDF • Perspectives and limitations

  3. Data sources • File system (pure data) • Program itself (variables, OOP) • Relational Database (SQL/PL) • Service (WSDL+SOAP, RSS etc.) (permanent and from program point of view)

  4. Problem • Program: • data persistency • Relational management limitation • Filesystem: • n:m linking (file in multiple dirs, except unix) • Parameter management (mp3 ID3)

  5. Problem • Database: • Relational management limitation • Primitive search (no semantic thinking)SELECT * FROM people WHERE name LIKE ‘Artjom%’ • Service • software-specific • no semantic questioning

  6. Ontology • How do we define real? • Subject, object, relationship Subject: spooncolor: metalliclength: Neo’s hand Image: kid’s face Relationship: Looks at Object: Neoartist: Keanu Reeves Robe: messiah-black

  7. Semantics • Natural-like language. For machines to understand • Neolooks at the spoon • n3 RDF format:Neo :looksAt :Spoon. • XML RDF format<matrix:Neo><matrix:looksAtrdf:resource="http://spoonshop.com/#Spoon" /></matrix:Neo>

  8. New search? SPARQL: SELECT ?name ?position WHERE { ?ship :locatedIn:UnitedStates. ?ship :hacks :theMatrix } Result: :Neo :messiah :Morpheus :leader

  9. Drawbacks • Impossible to use for general google-like search • Very general • N3 triplet is not expressive enough • XML syntax is too verbose

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