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Titlebook: Web-Age Information Management; 12th International C Haixun Wang,Shijun Li,Tieyun Qian Conference proceedings 2011 The Editor(s) (if applic

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书目名称Web-Age Information Management
副标题12th International C
编辑Haixun Wang,Shijun Li,Tieyun Qian
视频video
概述Up-to-date results.Fast track conference proceedings.State-of-the-art report
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Web-Age Information Management; 12th International C Haixun Wang,Shijun Li,Tieyun Qian Conference proceedings 2011 The Editor(s) (if applic
描述.This book constitutes the refereed proceedings of the 12th International Conference on Web-Age Information Management, WAIM 2011, held in Wuhan, China in September 2011..The 53 revised full papers presented together with two abstracts and one full paper of the keynote talks were carefully reviewed and selected from a total of 181 submissions. The papers are organized in topical sections on query processing, uncertain data, social media, semantics, data mining, cloud data, multimedia data, user models, data management, graph data, name disambiguation,  performance, temporal data, XML, spatial data and event detection..
出版日期Conference proceedings 2011
关键词Web-date engineering; intelligent data analysis; knowledge discovery; machine learning; multidimensional
版次1
doihttps://doi.org/10.1007/978-3-642-23535-1
isbn_softcover978-3-642-23534-4
isbn_ebook978-3-642-23535-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verlag GmbH, DE
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/w/image/1021730.jpg
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978-3-642-23534-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verlag GmbH, DE
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General-Purpose Ontology Enrichment from the WWW missing background knowledge, and thus, enabling the reuse of such knowledge in future. (.) saving time and effort required to manually enrich and update the ontologies. Experimental results indicate that the techniques used to enrich ontologies are both effective and efficient.
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General-Purpose Ontology Enrichment from the WWW missing background knowledge, and thus, enabling the reuse of such knowledge in future. (.) saving time and effort required to manually enrich and update the ontologies. Experimental results indicate that the techniques used to enrich ontologies are both effective and efficient.
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