Knowledge Seeker - Ontology Modelling for Information Search and Management: A Compendium: 8 (Intelligent Systems Reference Library) - Tapa blanda

Libro 5 de 188: Intelligent Systems Reference Library

Lim, Edward H. Y.; Liu, James N. K.; Lee, Raymond S.T.

 
9783642266911: Knowledge Seeker - Ontology Modelling for Information Search and Management: A Compendium: 8 (Intelligent Systems Reference Library)
Tapa blanda
ISBN 10: 3642266916 ISBN 13: 9783642266911
Editorial: Springer, 2013

Sinopsis

The Knowledge Seeker is a useful system to develop various intelligent applications such as ontology-based search engine, ontology-based text classification system, ontological agent system, and semantic web system etc. The Knowledge Seeker contains four different ontological components. First, it defines the knowledge representation model ¡V Ontology Graph. Second, an ontology learning process that based on chi-square statistics is proposed for automatic learning an Ontology Graph from texts for different domains. Third, it defines an ontology generation method that transforms the learning outcome to the Ontology Graph format for machine processing and also can be visualized for human validation. Fourth, it defines different ontological operations (such as similarity measurement and text classification) that can be carried out with the use of generated Ontology Graphs. The final goal of the KnowledgeSeeker system framework is that it can improve the traditional information system with higher efficiency. In particular, it can increase the accuracy of a text classification system, and also enhance the search intelligence in a search engine. This can be done by enhancing the system with machine processable ontology.

"Sinopsis" puede pertenecer a otra edición de este libro.

De la contraportada

The KnowledgeSeeker is a useful system to develop various intelligent applications such as ontology-based search engine, ontology-based text classification system, ontological agent system, and semantic web system etc. The KnowledgeSeeker contains four different ontological components. First, it defines the knowledge representation model ¡V Ontology Graph. Second, an ontology learning process that based on chi-square statistics is proposed for automatic learning an Ontology Graph from texts for different domains. Third, it defines an ontology generation method that transforms the learning outcome to the Ontology Graph format for machine processing and also can be visualized for human validation. Fourth, it defines different ontological operations (such as similarity measurement and text classification) that can be carried out with the use of generated Ontology Graphs. The final goal of the KnowledgeSeeker system framework is that it can improve the traditional information system with higher efficiency. In particular, it can increase the accuracy of a text classification system, and also enhance the search intelligence in a search engine. This can be done by enhancing the system with machine processable ontology.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2013
Idioma
Inglés
ISBN 10 
3642266916
ISBN 13 
9783642266911
Encuadernación
Tapa blanda
Número de páginas
264
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Otras ediciones populares con el mismo título

9783642179150: Knowledge Seeker - Ontology Modelling for Information Search and Management: A Compendium: 8 (Intelligent Systems Reference Library, 8)

Edición Destacada

ISBN 10:  3642179150 ISBN 13:  9783642179150
Editorial: Springer, 2011
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