CORE: A Context-Aware Relation Extraction Method for Web Search Query
Elda Maria Joy1, Noorjahan V.A2
1Elda Maria Joy, PG Scholar, Department of Computer Science and Engineering, Ilahia College of Engineering and Technology Muvatupuzha, Kerala, India.
2Noorjahan V.A, Asst. Professor, Department of Computer Science and Engineering, Ilahia College of Engineering and Technology Muvatupuzha, Kerala, India
Manuscript received on 16 November 2015 | Revised Manuscript received on 28 November 2015 | Manuscript Published on 30 November 2015 | PP: 1-4 | Volume-5 Issue-6, November 2015 | Retrieval Number: F2216115615/2015©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Identify relation completion (RC) as one recurring problem that is central to the success of novel big data applications. Given a semantic relation R, RC attempts at linking entity pairs between two entity lists under the relation R. To accomplish the RC goals, 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. Relatoion Extraction(CoRE) method that uses Relterms learned surrounding the expression of a relation as the auxiliary information in formulating queries. Graph based method is proposed to find similarity of related terms.
Keywords: Relation Extraction, Relation Completion, Relation Expansion Terms
Scope of the Article: Web Technologies