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Semantic Web Project Status

Semantic Web Project Status. Tim Peek Adrian Diaz Eric Clark. Project Status. The Computing Ontology Project Refined our original ontology based on Software Engineering section of the Computing Ontology Project website

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Semantic Web Project Status

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  1. Semantic Web Project Status Tim Peek Adrian Diaz Eric Clark

  2. Project Status • The Computing Ontology Project • Refined our original ontology based on Software Engineering section of the Computing Ontology Project website • Based on: http://what.csc.villanova.edu/twiki/bin/view/Main/SoftwareEngineering • Extended and added relationships within our ontology

  3. Project Status • Improvements to existing ontology: • Added properties, definitions, characteristics to better define additions to the knowledge base • Made classes disjoint where appropriate • Reorganized hierarchy • Added “Software Engineering Topic” class and subclasses • Object properties define relationships • Still a large ontology.

  4. Tools & knowledge representation • Tools • Protégé originally used for storing the ontology • Other visualization tools (ideas) • OWL Viz plugin for Protégé for diagramming • Knowledge Representation • Originally OWL and RDF Schema • Transitioning Ontology into Cyc KB

  5. Tools & knowledge representation • Building our Ontology into ResearchCyc Software Engineering Ontology • Adding Classes/Concepts from our ontology (Protégé) into ResearchCyc • Website: • http://68.82.165.50:3602/cgi-bin/cyccgi/cg?cb-start

  6. Transition from OWL to Cyc • Goal is to ensure that the classes and relationships are preserved from our OWL ontology • Keep both knowledge representations (OWL & Cyc) • Refer to Computing Ontology website for discrepancies. • Extend knowledge base using inputs such as text books and websites.

  7. Goals • Develop practical ontology • Potential uses: • Querying and Deriving information • Leverage Cyc KB and NL to process data(for example: University course listings, curriculum and etc.) • Create Cyc constants and assertions. • Automated process for gathering information and verifying the data. • Potentially develop a visual representation of data. • Application friendly ontology

  8. Potential Issues • Classifying relationships properly • Adapting original relations into Cyc KB • Developing meaningful data representation – useful to our audience • Working to improve “use cases”. • Data collection • Instantiation • Representing / synchronizing Ontology in both OWL and Cyc.

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