Ontology Learning for the Semantic Web
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Ontology Learning for the Semantic Web

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ISBN-13:
9780792376569
Einband:
Book
Erscheinungsdatum:
28.02.2002
Seiten:
276
Autor:
Alexander Maedche
Gewicht:
578 g
Format:
235x155x20 mm
Sprache:
Englisch
Beschreibung:

Explores techniques for applying knowledge discovery techniques to different web data sources, such as HTML documents, dictionaries, and more, in order to support the task of engineering and maintaining ontologies. This work is useful for researchers and developers of semantic web applications.
List of Figures. List of Tables. Preface. Acknowledgements. Foreword; R. Studer. Part I: Fundamentals. 1. Introduction. 2. Ontology - Definition & Overview. 3. Layered Ontology Engineering. Part II: Ontology Learning for the Semantic Web. 4. Ontology Learning Framework. 5. Data Import & Processing. 6. Ontology Learning Algorithms. Part III: Implementation & Evaluation. 7. The Text-To-Onto Environment. 8. Evaluation. Part IV: Related Work & Outlook. 9. Related Work. 10. Conclusion & Outlook. References. Index.
Ontology Learning for the Semantic Web explores techniques for applying knowledge discovery techniques to different web data sources (such as HTML documents, dictionaries, etc.), in order to support the task of engineering and maintaining ontologies. The approach of ontology learning proposed in Ontology Learning for the Semantic Web includes a number of complementary disciplines that feed in different types of unstructured and semi-structured data. This data is necessary in order to support a semi-automatic ontology engineering process. Ontology Learning for the Semantic Web is designed for researchers and developers of semantic web applications. It also serves as an excellent supplemental reference to advanced level courses in ontologies and the semantic web.