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Hierarchical topic-based communities construction for authors in a literature database
Abstract In this paper, given a set of research papIn this paper, given a set of research papers with only title and author information, a mining strategy is proposed to discover and organize the communities of authors according to both the co-author relationships and research topics of their published papers. The proposed method applies the CONGA algorithm to discover collaborative communities from the network constructed from the co-author relationship. To further group the collaborative communities of authors according to research interests, the CiteSeerX is used as an external source to discover the hidden hierarchical relationships among the topics covered by the papers. In order to evaluate whether the constructed topic-based collaborative community is semantically meaningful, the first part of evaluation is to measure the consistency between the terms appearing in the published papers of a topic-based collaborative community and the terms in the documents related to the specific topic retrieved from other external source. The experimental results show that 81.61% of the topic-based collaborative communities satisfy the consistency requirement. On the other hand, the accuracy of the discovered sub-concept relationship is verified by checking the Wikipedia categories. It is shown that 75.96% of the sub-concept terms are properly assigned in the concept hierarchy.roperly assigned in the concept hierarchy.
Abstractsub In this paper, given a set of research papIn this paper, given a set of research papers with only title and author information, a mining strategy is proposed to discover and organize the communities of authors according to both the co-author relationships and research topics of their published papers. The proposed method applies the CONGA algorithm to discover collaborative communities from the network constructed from the co-author relationship. To further group the collaborative communities of authors according to research interests, the CiteSeerX is used as an external source to discover the hidden hierarchical relationships among the topics covered by the papers. In order to evaluate whether the constructed topic-based collaborative community is semantically meaningful, the first part of evaluation is to measure the consistency between the terms appearing in the published papers of a topic-based collaborative community and the terms in the documents related to the specific topic retrieved from other external source. The experimental results show that 81.61% of the topic-based collaborative communities satisfy the consistency requirement. On the other hand, the accuracy of the discovered sub-concept relationship is verified by checking the Wikipedia categories. It is shown that 75.96% of the sub-concept terms are properly assigned in the concept hierarchy.roperly assigned in the concept hierarchy.
Bibtextype inproceedings  +
Doi 10.1007/978-3-642-13025-0_53  +
Has author Wu C.-L. + , Koh J.-L. +
Has extra keyword Bibliographic database + , CiteSeer + , Collaborative community + , Community mining + , Concept hierarchies + , Consistency requirements + , External sources + , Literature database + , Research papers + , Research topics + , Social Networks + , Wikipedia + , Database systems + , Industrial engineering + , Information services + , Intelligent systems + , Vocabulary control + , Research +
Has keyword Bibliographic database + , Community Mining + , Social Network +
Isbn 3642130240; 9783642130243  +
Issue PART 2  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 514–524  +
Published in Lecture Notes in Computer Science +
Title Hierarchical topic-based communities construction for authors in a literature database +
Type conference paper  +
Volume 6097 LNAI  +
Year 2010 +
Creation dateThis property is a special property in this wiki. 7 November 2014 20:54:01  +
Categories Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 7 November 2014 20:54:01  +
DateThis property is a special property in this wiki. 2010  +
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