Volume 7 Number 6 (Jun. 2012)
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JCP 2012 Vol.7(6): 1445-1452 ISSN: 1796-203X
doi: 10.4304/jcp.7.6.1445-1452

A Novel Chinese Domain Ontology Construction Method for Petroleum Exploration Information

Jike Ge1, Zushu Li1, Taifu Li2
1College of Automation, Chongqing University, China
2School of Electrical & Information Engineering, Chongqing University of Science and Technology, China


Abstract—Ontology is playing an important role in knowledge management and sharing, both users and system can communicate with each other using a common understanding knowledge of a domain. This study proposes a context-based ontology construction method for extracting petroleum exploration domain information from unstructured Chinese text documents. The proposed mechanism of domain ontology construction includes four steps. First, domain documents preprocessing aims to separates the text into sentences, including a Chinese Partof- Speech (POS) Tag and a Chinese corpus extract from the HowNet. Next, the concept clustering based on the fuzzy cmeans aims to cluster concepts and instances from documents. In third step, context extraction aims to obtain the contexts. Finally, domain ontology construction aims to generate a petroleum exploration Chinese domain ontology. Experimental results show that the proposed approach can effectively construct Chinese domain ontology from unstructured text documents. This study implements a context-based ontology construction mechanism that can automatically mine domain concepts out of domain document, thereby reducing cost and burden that would be incurred in a manual construction process.

Index Terms—Ontology construction, Context, Petroleum exploration, Concept clustering.

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Cite: Jike Ge, Zushu Li, Taifu Li, "A Novel Chinese Domain Ontology Construction Method for Petroleum Exploration Information," Journal of Computers vol. 7, no. 6, pp. 1445-1452, 2012.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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