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	KCAM: Concentrating on structural similarity for XML fragments
	Kong, Lingbo ; Tang, Shiwei ; Yang, Dongqing ; Wang, Tengjiao ; Gao, Jun
	2006
英文摘要	This paper proposes a new method, KCAM, to measure the structural similarity of XML fragments satisfying given keywords. Its name is derived directly after the key structure in this method, Keyword Common Ancestor Matrix. One KCAM for one XML fragment is a k x k upper triangle matrix. Each element a(i,j) stores the level information of the SLCA (Smallest Lowest Common Ancestor) node corresponding to the keywords k(i), k(j). The matrix distance between KCAMs, denoted as KDist(.,.), can be used as the approximate structural similarity. KCAM is independent of label information in fragments. It is powerful to distinguish the structural difference between XML fragments.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000239658700004&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Computer Science, Artificial Intelligence; Computer Science, Information Systems; Computer Science, Theory & Methods; SCI(E); EI; CPCI-S(ISTP); 0
语种	英语
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/292207]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Kong, Lingbo,Tang, Shiwei,Yang, Dongqing,et al. KCAM: Concentrating on structural similarity for XML fragments. 2006-01-01.

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