标题:Semantic Search for XML Documents
作者:Song Ling; Lv Qiangi; Tang Xiaobing
通讯作者:Song, L
作者机构:[Song Ling] Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Peoples R China.; [Lv Qiangi] State Grid China Technol, Jinan 250002, Peoples R Chi 更多
会议名称:3rd International Conference on Measuring Technology and Mechatronics Automation (ICMTMA 2011)
会议日期:JAN 06-07, 2011
来源:MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION, PTS 1 AND 2
出版年:2011
卷:48-49
页码:1028-1031
DOI:10.4028/www.scientific.net/AMM.48-49.1028
关键词:semantic search; XML; bloom filtering
摘要:With the continuous growth in the XML data, the ability to search in massive collections of XML data becomes important. In this paper, we present efficient techniques that are able to employ bloom-filtering to decrease computation complexity that is used to filter irrelevant XML paths. After filtering, a kind of semantic measure is used to compute similarity between the query and the relevant XML documents, which is used to rank retrieval results. Experiment results show that the retrieval prototype system based on bloom-filtering runs faster than ever under the almost same average precise.
收录类别:CPCI-S;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-s2.0-79951657281&doi=10.4028%2fwww.scientific.net%2fAMM.48-49.1028&partnerID=40&md5=14a179712218ced1c7839cd3ea5dc035
TOP