CoRE : a context-aware relation extraction method for relation completion

Li, Zhixu, Sharaf, Mohamed A., Sitbon, Laurianne, Du, Xiaoyong, & Zhou, Xiaofang (2013) CoRE : a context-aware relation extraction method for relation completion. IEEE Transactions on Knowledge and Data Engineering, 26(4), pp. 836-849.

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We identify relation completion (RC) as one recurring problem that is central to the success of novel big data applications such as Entity Reconstruction and Data Enrichment. Given a semantic relation, RC attempts at linking entity pairs between two entity lists under the relation. To accomplish the RC goals, we propose to formulate search queries for each query entity α based on some auxiliary information, so that to detect its target entity β from the set of retrieved documents. For instance, a pattern-based method (PaRE) uses extracted patterns as the auxiliary information in formulating search queries. However, high-quality patterns may decrease the probability of finding suitable target entities. As an alternative, we propose CoRE method that uses context terms learned surrounding the expression of a relation as the auxiliary information in formulating queries. The experimental results based on several real-world web data collections demonstrate that CoRE reaches a much higher accuracy than PaRE for the purpose of RC.

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ID Code: 71105
Item Type: Journal Article
Refereed: Yes
Keywords: document handling;query processing;ubiquitous computing;CoRE;PaRE;RC;auxiliary information;context-aware relation extraction method;data applications;data enrichment;document retrieval;entity reconstruction;pattern based method;relation completion;search
DOI: 10.1109/TKDE.2013.148
ISSN: 1041-4347
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Natural Language Processing (080107)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Database Management (080604)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2013 IEEE
Copyright Statement: Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Deposited On: 08 May 2014 01:53
Last Modified: 09 May 2014 07:06

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