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OWL-AA: Enriching OWL with Instance Recognition Semantics for Automated Semantic Annotation

Explore how adding instance recognition semantics to OWL can automate web data annotation effectively, improving scalability and compatibility with standards. Learn about declerative semantics and implementation using OWL-AA.

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OWL-AA: Enriching OWL with Instance Recognition Semantics for Automated Semantic Annotation

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  1. OWL-AA: Enriching OWL with Instance Recognition Semantics for Automated Semantic Annotation 2006 Spring Research Conference Yihong Ding

  2. Semantic Web and Automated Semantic Annotation • Semantic Web: the web containing machine-processable web data • Semantic Annotation: adds formal metadata to web pages • Metadata links data in a web page to defined concepts in an ontology • Annotated data becomes machine-processable • Annotation needs automation to be scalable

  3. “Main Drawback” of Current Automated Semantic Annotation • Problem: “post-processing and mapping of the IE [information extraction] results to an ontology” [Kiryakov 2004] • Needs human intervention • Decreases system automation and scalability • Solution: “use ontolog[ies] more directly during the process of extraction” [Kiryakov 2004] • Does work (as our ontology-based annotation shows) • But …

  4. A Hidden Problem: Compatible with Standards • A solution should be compatible with semantic web standards • OWL (Web Ontology Language): standard • Solutions must be OWL-compatible • Current Solution • OSMX (Object-oriented Systems Model in XML): not a standard, not OWL-compatible • Declarative instance recognition semantics • Needed by automated annotation process • Lacking in OWL

  5. Instance Recognition Semantics in Extraction Ontologies • Instance recognition semantics: machine-processable recognizers of instances that belong to the extention of a concept in a specified domain. • Examples in extraction ontologies • External Representation • Price: \d+|\d?\d?\d,\d\d\d • Make: CarMake.lexicon • Contextual Representation • Context phrases (left, right), e.g. \$? • Context keywords: e.g. price | obo | neg(\.|otiable)

  6. OWL: Lacks Instance Recognition Semantics • In general, OWL • Declares class, property, hierarchical relationship, restriction. • Declares instantiations. • Does not support declaration of “instance recognition” • Consequently, • Not enough declarative semantics in OWL directly useable by automated annotation • Mixture of knowledge declaration and knowledge processing • Domain experts must know program implementation; • Or, program developers must be domain experts. • No annotation integrity checking • <carad:Make>Taurus</carad:Make> is legal, though it is incorrect; • And, machines cannot catch this error.

  7. OWL-AA (RDF Schema)

  8. OWL-AA (RDF Schema)

  9. OWL-AA Declarations

  10. Implementation • Jena API converts OWL-AA ontologies to OSMX ontologies • Use OSMX ontologies to do automated annotation

  11. Conclusion • OWL-AA is a way to extend OWL to provide for automated semantic annotation. • OWL-AA overcomes the “main drawback” of automated semantic annotation. • OWL-AA allows us to separate the creation of domain knowledge from the implementation of a processor to use domain knowledge for the purpose of annotating web pages. • OWL-AA provides for annotation integrity checking.

  12. Instantiation Instantiation Declaration vs. Instantiation Declaration

  13. Instance Recognition Semantics Machine-processable recognizers of instances that belong to the extention of a concept in a specified domain. IRecS of Right Concept: no line in eye IRecS of Left Concept: has line in eye

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