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Learning OWL class expressions /
With the advent of the Semantic Web and Semantic Technologies, ontologies have become one of the most prominent paradigms for knowledge representation and reasoning. However, recent progress in the field faces a lack of well-structured ontologies with large amounts of instance data due to the fact t...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Heidelberg :
AKA Akademische Verlagesellschaft : IOS Press,
2010.
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| Colección: | Studies on the Semantic Web ;
v. 006. |
| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | With the advent of the Semantic Web and Semantic Technologies, ontologies have become one of the most prominent paradigms for knowledge representation and reasoning. However, recent progress in the field faces a lack of well-structured ontologies with large amounts of instance data due to the fact that engineering such ontologies requires a considerable investment of resources. Nowadays, knowledge bases often provide large volumes of data without sophisticated schemata. Hence, methods for automated schema acquisition and maintenance are sought. Schema acquisition is closely related to solving typical classification problems in machine learning, e.g. the detection of chemical compounds causing cancer. In this work, we investigate both, the underlying machine learning techniques and their application to knowledge acquisition in the Semantic Web. --Book Jacket. |
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| Notas: | Originally presented as: Thesis (doctoral)--Universität Leipzig, 2010. |
| Descripción Física: | 1 online resource (xiv, 265 pages) : illustrations (some color) |
| Bibliografía: | Includes bibliographical references. |
| ISBN: | 9781614993407 1614993408 1306284775 9781306284776 |
| ISSN: | 1868-1158 ; |