标题:A method for integrating interfaces based on cluster ensemble in digital library federation
作者:Pan, Peng ;Li, Qingzhong ;Fang, Xiaonan
通讯作者:Li, Q
作者机构:[Pan, Peng ;Li, Qingzhong ] School of Computing Science and Technology, Shandong University, Shandong, China;[Fang, Xiaonan ] School of Information Sc 更多
会议名称:5th International Symposium on IT in Medicine and Education, ITME 2013
会议日期:19 July 2013 through 21 July 2013
来源:Lecture Notes in Electrical Engineering
出版年:2014
卷:269 LNEE
页码:879-887
DOI:10.1007/978-94-007-7618-0_86
关键词:Cluster ensemble; Deep web; Digital library; Interface integration; Uncertainty
摘要:Recently, there are more demands in a digital library federation to integrate multiple query interfaces into one for users. Since different interfaces have various descriptions for the same concept and the amount of interfaces are numerous, it is hard to provide complete and exact domain knowledge. Hence, the methods of clustering are usually adopted to generate an integrated interface. However, over one same properties set, the results for clustering may be diverse according to the differences of clustering algorithms or parameters setting for the same algorithm. Nevertheless, we could obtain one more complete and exact integrated interface with the aid of cluster ensemble by merging multiple clustering results. In this paper, based on the principle of cluster ensemble, we propose a single clustering algorithm with uncertainty regarding that one property may belong to more than one possible cluster division during integration. We also propose a fusing cluster algorithm to obtain cluster ensemble that satisfying interface integration and it shows favorable performances than the existing methods. © Springer Science+Business Media Dordrecht 2014.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84894422180&doi=10.1007%2f978-94-007-7618-0_86&partnerID=40&md5=42b7a902137e4284fbc293438293c201
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