9783642179150 - knowledge seeker - ontology modelling for information search and management: a compendium (intelligent systems reference library, 8, band 8) von lim, edward h. y.; liu, james n. k.; lee, raymond s.t. (6 Ergebnisse)
Sprache: Englisch
Verlag: Springer, 2011
Serie: Buch 5 von 188 - Intelligent Systems Reference Library
- Hardcover
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Sprache: Englisch
Verlag: Springer Berlin Heidelberg, 2011
Serie: Buch 5 von 188 - Intelligent Systems Reference Library
- Hardcover
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Gebunden. Zustand: New.
Sprache: Englisch
Verlag: Springer, 2011
Serie: Buch 5 von 188 - Intelligent Systems Reference Library
- Hardcover
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Hardcover. Zustand: Brand New. 264 pages. 9.25x6.25x0.75 inches. In Stock.
Sprache: Englisch
Verlag: Springer Spektrum, 2011
Serie: Buch 5 von 188 - Intelligent Systems Reference Library
- Hardcover
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 di…fferent 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. 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.
Sprache: Englisch
Verlag: J.B. Metzler, 2011
Serie: Buch 5 von 188 - Intelligent Systems Reference Library
- Hardcover
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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 264 | Sprache: Englisch | Produktart: Bücher | 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 Se…eker 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.
Sprache: Englisch
Verlag: J.B. Metzler, 2011
Serie: Buch 5 von 188 - Intelligent Systems Reference Library
- Hardcover
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Hardcover. Zustand: gut. 2011. Knowledge Seeker - Ontology Modelling for Information Search and Management In deutscher Sprache. pages.
