Recently, the vision of a semantic web in which background knowledge is stored through the use of machine-processable metadata has been attained. Ontologies have shown to be the answer for structuring background knowledge by providing a formal and complex vocabulary of a particular domain that is shared by a group of people. The manual building of ontologies is a tedious task, which can easily result in a knowledge acquisition bottleneck. However, the success of the semantic web depends on the proliferation of ontologies, which requires that the engineering of ontologies be completed quickly and easily. This book 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 this book 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. This text is designed for researchers and developers of semantic web applications. It could also serve as a supplemental reference to advanced level courses in ontologies and the semantic web.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
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.
Book by Maedche Alexander
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Da: RON RAMSWICK BOOKS, IOBA, CARLSBAD, CA, U.S.A.
Hard Cover. Condizione: Fine. Size: 8vo - over 7¾" - 9¾" tall. Codice articolo 24103
Quantità: 1 disponibili
Da: BennettBooksLtd, Los Angeles, CA, U.S.A.
hardcover. Condizione: New. In shrink wrap. Looks like an interesting title! Codice articolo Q-0792376560
Quantità: 1 disponibili
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Condizione: New. Codice articolo ABLIING23Feb2416190184660
Quantità: Più di 20 disponibili
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New. Codice articolo 269489-n
Quantità: Più di 20 disponibili
Da: Ria Christie Collections, Uxbridge, Regno Unito
Condizione: New. In. Codice articolo ria9780792376569_new
Quantità: Più di 20 disponibili
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 276 pp. Englisch. Codice articolo 9780792376569
Quantità: 2 disponibili
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Condizione: New. Codice articolo 269489-n
Quantità: Più di 20 disponibili
Da: moluna, Greven, Germania
Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 o. Codice articolo 5970328
Quantità: Più di 20 disponibili
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Condizione: New. 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. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 244 pages, biography. BIC Classification: UM; UYQM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 242 x 166 x 20. Weight in Grams: 552. . 2002. Hardback. . . . . Codice articolo V9780792376569
Quantità: 15 disponibili
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Buch. Condizione: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 276 pp. Englisch. Codice articolo 9780792376569
Quantità: 2 disponibili