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机构地区:[1]College of Information Science and Engineering, Northeastern University [2]Software College,University of Science and Technology LiaoNing
出 处:《Journal of Computer Science & Technology》2013年第2期382-393,共12页计算机科学技术学报(英文版)
基 金:supported by the National Basic Research 973 Program of China under Grant No. 2012CB316201;the National Natural Science Foundation of China under Grant Nos. 60973021, 61033007, 61003060;the Fundamental Research Funds for the Central Universities of China under Grant No. N100704001
摘 要:Keyword query has attracted much research attention due to its simplicity and wide applications. The inherent ambiguity of keyword query is prone to unsatisfied query results. Moreover some existing techniques on Web query, keyword query in relational databases and XML databases cannot be completely applied to keyword query in dataspaces. So we propose KeymanticES, a novel keyword-based semantic entity search mechanism in dataspaces which combines both keyword query and semantic query features. And we focus on query intent disambiguation problem and propose a novel three-step approach to resolve it. Extensive experimental results show the effectiveness and correctness of our proposed approach.Keyword query has attracted much research attention due to its simplicity and wide applications. The inherent ambiguity of keyword query is prone to unsatisfied query results. Moreover some existing techniques on Web query, keyword query in relational databases and XML databases cannot be completely applied to keyword query in dataspaces. So we propose KeymanticES, a novel keyword-based semantic entity search mechanism in dataspaces which combines both keyword query and semantic query features. And we focus on query intent disambiguation problem and propose a novel three-step approach to resolve it. Extensive experimental results show the effectiveness and correctness of our proposed approach.
关 键 词:query intent disambiguation semantic entity search dataspace
分 类 号:TP391.3[自动化与计算机技术—计算机应用技术]
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