Volume 13 Number 2 (Feb. 2018)
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JCP 2018 Vol.13(2): 139-145 ISSN: 1796-203X
doi: 10.17706/jcp.13.2.139-145

A Rule-Based Approach for Converting Wikipedia Content into Semantic Relations

Nihal Yağmur Aydın, Tunga Güngör
Boğaziçi University, Computer Engineering Dept., Istanbul, Turkey.
Abstract—In this paper, we propose a method for conversion from natural language into semantic relations. In t his r esearch, we focus o n t ext w ritten i n h ighly u nstructured form. The tools Stanford named entity recognizer and dependency parser are used to extract relevant information. The method is based on analysis of grammatical patterns of the sentences chosen from Wikipedia. The parse trees of sentences are examined in o rder t o c reate p atterns. R egular e xpressions a re used t o fetch t he r elated n odes o f t he p arse trees. I n addition t o t he g rammatical s tructure o f s entences, we a lso m ade u se o f t he named e ntities t o c reate semantic relations. Experiments on different types of relations showed that 71% and 82% success rates can be obtained for a threshold of 0.50 correctness rate.

Index Terms—Grammatical patterns, information extraction, semantic representation, Wikipedia.

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Cite: Nihal Yağmur Aydın, Tunga Güngör, "A Rule-Based Approach for Converting Wikipedia Content into Semantic Relations," Journal of Computers vol. 13, no. 2, pp. 139-145, 2018.

General Information

ISSN: 1796-203X
Frequency: Monthly (2006-2014); Bimonthly (Since 2015)
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO, DOAJ, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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