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Semantic Web

3 Credit Hour Course

Prerequisite:   None

Semantic web: general overview, motivation, models, technologies; Data representation: traditional data-modeling methods, semantic relationships; Resource Description Framework (RDF): syntax, data structures, formal semantics (RDFS); Web Ontology Language (OWL): semantics, standards, logic, expressivity, reasoning; Logic and inference: monotonic rules, facts and goals, OWL2 RL (Rule Language), Rule Interchange Format (RIF), Semantic Web Rules Language (SWRL); Ontology: formats, rules, queries, Simple Protocol and RDF Query Language (SPARQL); Ontology engineering: ontology construction, reuse and acquisition, ontology mapping; Semantic web applications and application architecture; Semantic web tools.

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