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Learning expressive ontologies /

This publication advances the state-of-the-art in ontology learning by presenting a set of novel approaches to the semi-automatic acquisition, refinement and evaluation of logically complex axiomatizations. It has been motivated by the fact that the realization of the semantic web envisioned by Tim...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Völker, Johanna (Autor)
Autor Corporativo: IOS Press
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Heidelberg : AKA : IOS Press, [2009]
Colección:Studies on the Semantic Web ; v. 002.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Learning expressive ontologies /  |c Johanna Völker. 
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504 |a Includes bibliographical references. 
505 0 |a 1. Introduction -- I. Foundations -- 2. Overview -- 3. Ontologies -- 4. Ontology Evaluation -- 5. Ontology Learning -- 6. Basic Methods -- II. Methods for Learning Expressive Ontologies -- 7. Learning Class Descriptions -- 8. Learning Property Restrictions -- 9. Learning Disjointness Axioms -- 10. Formal Consistency -- 11. Summary -- III. Applications and Evaluation -- 12. Handling Logical Inconsistency -- 13. Ontology Alignment -- 14. Towards Semi-automatic Ontology Engineering -- 15. Summary -- IV. Conclusion -- 16. Summary -- 17. Outlook -- 18. Conclusion. 
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520 |a This publication advances the state-of-the-art in ontology learning by presenting a set of novel approaches to the semi-automatic acquisition, refinement and evaluation of logically complex axiomatizations. It has been motivated by the fact that the realization of the semantic web envisioned by Tim Berners-Lee is still hampered by the lack of ontological resources, while at the same time more and more applications of semantic technologies emerge from fast-growing areas such as e-business or life sciences. Such knowledge-intensive applications, requiring large scale reasoning over complex domai. 
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