A Multi-Level Knowledge Representation Technology Research in Oil Management System

Abstract:

Ontology combined with the development of computer technology in all fields initiated the research of construction and application for so-called domain ontology. This article starts with the issues of current computer technology in the oil exploration and development domain, provides a construction method of oil exploration and development domain ontology based on a multi-level business process,and divides the oil exploration and development domain into multistage business activity levels,and takes hydrocarbon prospect characterization as example and discusses a construction method for corresponding micro-ontology.

• Periodical: Advanced Materials Research (Volumes 753-755)
• Pages: 3084-3092
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.753-755.3084
• Online since: August 2013
• Authors: Guo Ming Yuan, Bo Fan
• Keywords: Business Process Construction Ontology, Domain-Specific Ontology, Micro-Ontology, Oil Ontology, Ontology

References

[1] Chen Xin, Zeng Ying, Li Qinghui. Digital oil field construction and practice –Information-based construction in Xinjiang oilfield [M]. Beijing: Petroleum industry press, 2008. 27.

[2] Wang Fuyong, Li Aiguo. Discussion on china petroleum information standardization. 2000c [J]. Computer Application of petroleum, 2 (1) : 2-6.

[3] Thomas R Grube. Ontolingua: A Translation Approach to Potable Ontology SPecification. Knowledge Acquisition, 1993, 5(2): 199-200.

[4] Bomt W N. Construction of Engineering Ontofogies for Knowledge Sharing and Reuse[D]. PhD Thesis, Enschede: University of Twente, (1997).

[5] Fridman Noy and CD Hafher. The State of the Art in Ontology Design. A Survey and Comparatlve Review. AI Magazine, 1997: 53-74.

[6] Chen Gang, Mr Luk Bell, Jin Zhi. Constructing virtual domain ontology based on domain knowledge reuse. Journal of software, 2003, 14 (3): 350-355.

[7] Feng Zhiyong, Li Wenjie, Xiaohong Li. Ontology engineering and its applications [M]. Beijing: Tsinghua University Press, (2007).

[8] Yuan Guo ming, Li Hong qi. Survey on development of decision support system. Microcomputer & its applications [J]. 2010, 23: 5-7.

[9] Fridman Noy and CD Hafher. The State of the Art in Ontology Design. A Survey and Comparatlve Review. AI Magazine, 1997: 53-74.

[10] Guarino N. Formal Ontology and Information Systems. In: Proceedings of the lst International Conference on Formal Ontology in Information Systems (FOIS'98). Trento, Italy: IOS Press, 1998, 3-15.

[11] Quine W V. From a logical Point of view: Nine Logico-philosophical Essays, Cambridge, Massachuetts, USA: Harvard University Press, (1980).

DOI: 10.2307/2273406

[12] Guarino N, Carrara M, Giaretta P. Formalizing Ontological Commitments. In: Proceedings of 12th National Conference on Artificial Intelligence(AAAI'94). Seattle, Washington, USA, 1994. 1: 560-568.

[13] Teng Chih-hung, Tang shiwei, Yang dongqing. An intra-algebra in ontology. Computer engineering and applications. 2001. 7 (23): 7-8.

[14] Peter Mika. Ontologies are us: A unified model of social networks and semantics [J] . Web Semantics: Science, Services and Agents on the World Wide Web, 2007, 5 (1) : 5-15.

DOI: 10.1016/j.websem.2006.11.002

[15] Yang Yizhong, Wang Chengyong, Lin Shufeng. Petroleum thesaurus. Petroleum industry press, (1994).

[16] Liu Baohe. Encyclopedia of China Petroleum exploration and development. Petroleum industry press, (2008).

[17] Yuan Guo-ming, Li Hong-qi, Fan Bo. Survey on Development of Knowledge Engineering System. Computing Technology and Automation[J]. 2011, 30(1): 138-143.

[18] Guoming Yuan, Hongqi Li and Bo Fan. Discussion on the Construction Method of Oil Exploration and Exploration and Development Domain Ontology[C]/Proceedings of ICEOE 2011, the 2011 IEEE International Conference on Electronics and Optoelectronics, Dalian, China : V4-401.

DOI: 10.1109/iceoe.2011.6013515