Ontology learning for the semantic web
Author(s)
Bibliographic Information
Ontology learning for the semantic web
（The Kluwer international series in engineering and computer science）
Kluwer Academic, c2002
Available at / 18 libraries
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University of Tsukuba Library, Library on Library and Information Science
547.48:Ma-26021002930
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Note
foreword by R. Studer
Includes bibliographical references (p. [229]-241) and index
Description and Table of Contents
Description
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.
Table of Contents
- 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.
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