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lgli/A:\usenetabtechnical\Springer.Verlag.-.Knowledge.Seeker-Ontology.Modelling.for.Information.Search.and.Management.2011.RetatBookook-BitBook .pdf
Knowledge Seeker - Ontology Modelling for Information Search and Management: A Compendium (Intelligent Systems Reference Library (8)) 🔍
Edward H. Y. Lim, James N. K. Liu, Raymond S. T. Lee (auth.) Springer-Verlag Berlin Heidelberg, Intelligent Systems Reference Library, Intelligent Systems Reference Library 8, 1, 2011
英语 [en] · PDF · 8.7MB · 2011 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/scihub/zlib · Save
描述
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.
Erscheinungsdatum: 19.01.2011
备用文件名
lgrsnf/A:\usenetabtechnical\Springer.Verlag.-.Knowledge.Seeker-Ontology.Modelling.for.Information.Search.and.Management.2011.RetatBookook-BitBook .pdf
备用文件名
nexusstc/Knowledge Seeker - Ontology Modelling for Information Search and Management/66458caf2dd6a79d6062156c7692ef83.pdf
备用文件名
scihub/10.1007/978-3-642-17916-7.pdf
备用文件名
zlib/Reference/Library & Information Science/Edward H. Y. Lim, James N. K. Liu, Raymond S. T. Lee (auth.)/Knowledge Seeker - Ontology Modelling for Information Search and Management: A Compendium_2057631.pdf
备选作者
by Edward H. Y. Lim, James N. K. Liu, Raymond S. T. Lee
备选作者
Lim, Edward H. Y., Liu, James N. K., Lee, Raymond S.T.
备用出版商
Spektrum Akademischer Verlag. in Springer-Verlag GmbH
备用出版商
Steinkopff. in Springer-Verlag GmbH
备用出版商
Springer Nature
备用版本
Intelligent Systems Reference Library -- 8, Berlin, Heidelberg, Germany, 2011
备用版本
Intelligent systems reference library, 1st ed. 2011, Berlin, Heidelberg, 2011
备用版本
Intelligent systems reference library, v. 8, Berlin, ©2011
备用版本
Springer Nature, Berlin, 2011
备用版本
2011, 2011-01-19
备用版本
Germany, Germany
备用版本
2011, PT, 2011
备用版本
3, 20110131
元数据中的注释
usenet tech -- 2012-06
元数据中的注释
sm41114584
元数据中的注释
{"container_title":"Intelligent Systems Reference Library","edition":"1","isbns":["3642179150","3642179169","9783642179150","9783642179167"],"issns":["1868-4394","1868-4408"],"last_page":237,"publisher":"Springer","series":"Intelligent Systems Reference Library 8"}
元数据中的注释
MiU
备用描述
Front Matter....Pages -
Front Matter....Pages 1-1
Computational Knowledge and Ontology....Pages 3-12
Ontology Engineering....Pages 13-25
Text Information Retrieval....Pages 27-36
Web Data Semantics....Pages 37-46
Front Matter....Pages 47-47
Ontology Modeling Framework....Pages 49-70
Ontology Learning in Chinese Text....Pages 71-98
Ontology Graph Generation Process....Pages 99-119
Ontology Graph Operations....Pages 121-142
Front Matter....Pages 143-143
Ontology Graph Based Approach for Automatic Chinese Text Classification....Pages 145-164
IATOPIA iCMS KnowledgeSeeker - An Integrated Content Management System and Digital Asset Management System (DAMS)....Pages 165-173
IATOPIA News Channel (IAToNews) - An Intelligent Ontological Agent-Based Web News Retrieval and Search System....Pages 175-180
Collaborative Content and User-Based Web Ontology Learning System....Pages 181-194
Back Matter....Pages -
开源日期
2013-03-30
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