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Titlebook: Knowledge Seeker - Ontology Modelling for Information Search and Management; A Compendium Edward H. Y. Lim,James N. K. Liu,Raymond S. T. Le

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發(fā)表于 2025-3-21 19:05:43 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Knowledge Seeker - Ontology Modelling for Information Search and Management
副標題A Compendium
編輯Edward H. Y. Lim,James N. K. Liu,Raymond S. T. Lee
視頻videohttp://file.papertrans.cn/545/544070/544070.mp4
概述Well structured presentation of Knowledge Seeker – an Ontology Modelling and Learning Framework.Compendium of Ontology Modelling for Information Search and Management.Written by leading experts in thi
叢書名稱Intelligent Systems Reference Library
圖書封面Titlebook: Knowledge Seeker - Ontology Modelling for Information Search and Management; A Compendium Edward H. Y. Lim,James N. K. Liu,Raymond S. T. Le
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 w
出版日期Book 2011
關鍵詞Computational Intelligence; knowledge seeker; ontology learning; ontology modelling
版次1
doihttps://doi.org/10.1007/978-3-642-17916-7
isbn_softcover978-3-642-26691-1
isbn_ebook978-3-642-17916-7Series ISSN 1868-4394 Series E-ISSN 1868-4408
issn_series 1868-4394
copyrightSpringer-Verlag Berlin Heidelberg 2011
The information of publication is updating

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發(fā)表于 2025-3-21 23:21:22 | 只看該作者
Book 2011cation 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
板凳
發(fā)表于 2025-3-22 02:41:57 | 只看該作者
1868-4394 tion Search and Management.Written by leading experts in thiThe 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
地板
發(fā)表于 2025-3-22 08:19:13 | 只看該作者
Computational Knowledge and Ontologyce some researches and definitions related to knowledge and computational knowledge. Ontology is a word used in both philosophy and computer system to describe the formalization of knowledge. We shall look into the definition of ontology in brief and also introduce its formalization methods in computer system.
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發(fā)表于 2025-3-22 10:49:49 | 只看該作者
Ontology Engineeringng tools for ontology engineer or domain expert to create ontology manually. This chapter introduces the concept of ontology engineering, some related tools and also some related technology that is useful to the development of ontology learning algorithms.
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Ontology Graph Operationsication, search engine, etc. This is the last module of the KnowledgeSeeker system and all modules developed in the KnowledgeSeeker can improve 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.
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