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Transforming Current Web Sources for Semantic Web Usage

Transforming Current Web Sources for Semantic Web Usage. Martin Řimnáč rimnacm@cs.cas.cz. SOFSEM 2006 Měřín Czech Republic January 21-27, 2006. Institute of Computer Science Czech Republic. Data Structure Estimation - Motivation. Web pages contain a lot of information.

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Transforming Current Web Sources for Semantic Web Usage

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  1. Transforming Current Web Sources for Semantic Web Usage Martin Řimnáčrimnacm@cs.cas.cz SOFSEM 2006 Měřín Czech Republic January 21-27, 2006 Institute of Computer Science Czech Republic

  2. Data Structure Estimation - Motivation Web pages contain a lot of information. Many of them present a view into database systems (product catalogues). The work aim: - Extract information from a web page - Store it back by an effective way into: - a database system - a semantic web portfolio (portal) To provide this: - A data structure has to be known.(Normal Database Form, RDF/OWL structure)

  3. Y X y Z x z Data Structure Estimation a machine learning method using a global criterion Proposed Algorithm Naïve Algorithm Reduces complexity by - Consideration of a model skeleton - Functional dependency hierarchy - as simple description as possible - Polynomial complex operations - only an attribute decomposition is not The result includes: - trivial functional dependencies - functional dependencies carrying no information The result includes: - only functional dependency carrying information

  4. Y X y Z x1 z x2 Interpretation of Model for SW RDF: OWL: ... <dse:fdix=”x1” y=”y” /> <dse:fdix=”x2” y=”y” /> <dse:fdiy=”y” z=“z” /> ... No support for complex attributes Idea based on a “touple activations”

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