Query Intent Disambiguation of Keyword-Based Semantic Entity Search in Dataspaces |
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| Authors: | Dan Yang De-Rong Shen Ge Yu Yue Kou Tie-Zheng Nie |
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| Affiliation: | 1. College of Information Science and Engineering, Northeastern University, Shenyang, 110004, China
2. Software College, University of Science and Technology LiaoNing, Anshan, 114044, China
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| Abstract: | 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. |
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