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" Knowledge seeker : "
Edward H.Y. Lim, James N.K. Liu, and Raymond S.T. Lee.
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BL
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| Record Number
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1010159
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b764529
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| Main Entry
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Lim, Edward H. Y.
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| Title & Author
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Knowledge seeker : : ontology modelling for information search and management : a compendium /\ Edward H.Y. Lim, James N.K. Liu, and Raymond S.T. Lee.
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| Publication Statement
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Berlin :: Springer,, ©2011.
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, ©2011
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| Series Statement
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Intelligent systems reference library ;; v. 8
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| Page. NO
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1 online resource (xxvi, 237 pages) :: illustrations (some color)
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| ISBN
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3642179150
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: 3642179169
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: 9783642179150
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: 9783642179167
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9783642179150
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| Bibliographies/Indexes
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Includes bibliographical references (pages 195-209).
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| Contents
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pt. 1. Introduction -- pt. 2. KnowledgeSeeker : an ontology modeling and learning framework -- pt. 3. KnowledgeSeeker applications.
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| Abstract
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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.
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| Subject
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Information storage and retrieval systems.
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Knowledge management.
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Machine learning.
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Ontologies (Information retrieval)
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Ontology.
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Information storage and retrieval systems.
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Ingénierie.
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Knowledge management.
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LANGUAGE ARTS DISCIPLINES-- Library Information Science-- General.
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Machine learning.
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Ontologies (Information retrieval)
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Ontology.
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| Dewey Classification
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025.5/24
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| LC Classification
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TK5105.88815.L56 2011
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| Added Entry
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Lee, R. S. T., (Raymond S. T.)
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Liu, J. N. K., (James N. K.)
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