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| Constructing the Ontology for Modeling the Fish Production in Pearl River Basin |
| HE Qi-yun, ZHENG Ye-lu, XU Jian-ning |
| Institute of Science and Technology Information, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, P.R.China |
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摘要 This paper puts forward a construction method based on ontology for the Pearl River Basin fish production, to facilitate the domain knowledge analysis and information retrieval. By converting the concepts and terms in domain ordinally, the fish production ontology was constructed with the definition of classes, properties, instances, and relationships. The developed ontology model of the fish production knowledge is proposed and applied in the system of fish diseases diagnosis primarily. The research lays the semantic foundation for the further efficient knowledge management and practical application.
Abstract This paper puts forward a construction method based on ontology for the Pearl River Basin fish production, to facilitate the domain knowledge analysis and information retrieval. By converting the concepts and terms in domain ordinally, the fish production ontology was constructed with the definition of classes, properties, instances, and relationships. The developed ontology model of the fish production knowledge is proposed and applied in the system of fish diseases diagnosis primarily. The research lays the semantic foundation for the further efficient knowledge management and practical application.
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Received: 28 June 2011
Accepted:
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| Fund: This work was supported by the National Natural Science Foundation of China (2006AA10Z239) and the National Key Technology R&D Program of China (2006BAD10A0501). |
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Corresponding Authors:
Correspondence HE Qi-yun, Mobile: 13822122169, E-mail: hqykk@126.com
E-mail: hqykk@126.com
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| About author: HE Qi-yun, Mobile: 13822122169, E-mail: hqykk@126.com |
Cite this article:
HE Qi-yun, ZHENG Ye-lu, XU Jian-ning.
2012.
Constructing the Ontology for Modeling the Fish Production in Pearl River Basin. Journal of Integrative Agriculture, 11(5): 760-768.
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| [1]Borst P, Akkermans H. 1997. An ontology approach to product disassembly. In: Proceedings of the 10th European Workshop on Knowledge Acquisition, Modeling and Management. vol. 1319. Springer-Verlag London, UK. pp. 33-48. [2]Caracciolo C. 2007. Technical report: NeOn project deliverable D7.2.2 revised and enhanced fisheries ontologies. [2007-08-31]. http://www.fao.org/docrep/ field/009/ai254e/ai254e00.htm [3]Cui Y P, Su X L, Liu S H. 2012. Study of ontology-based swine diagnosis technology. Journal of Integrative Agriculture, 11, 831-838. [4]Huang D M, Zhu H. 2008. Rough formal concept analysis for semi-automatic marine ontology. In: Proceedings of the Fourth International Conference on Natural Computation. vol. 5. IEEE Computer Society, Washington, D.C., USA. pp. 114-118. [5]Huang D M, Gao J X. 2009. Technology of building domain ontology based on SECI. In: Proceedings of the 2009 World Congress on Software Engineering. vol. 4. IEEE Computer Society, Washington, D.C., USA. pp. 519-523. [6]Li J, Meng L S. 2004. Comparison of seven approaches in constructing ontology. New Technology of Library and Information Service, 7, 17-22. (in Chinese) [7]Li Z, Keizer J, Wang Z, Sini M, Zheng Y L. 2006. Designing the team-oriented ontology management system with ajax technology. In: Proceedings of the 5th International Conference of the Asian Federation for Information Technology in Agriculture. Bangalore, India. pp. 720-728. [8]Liang Y Q. 2008. The Research of Critical Building Technologies of Ontology in Fishery Domain. Shanghai Ocean University Press, Shanghai, China. pp. 5-12. (in Chinese) [9]Lin Y H. 2003. A new species of the genus glyptothorax blyth from Guangdong China. Acta Zootaxonomica Sinica, 1, 159-162. (in Chinese) [10]Liu C Y, Chen S P, Wu Y C. 2007. The transformation from thesaurus to ontology based on SKOS. New Technology of Library and Information Service, 5, 32-35. (in Chinese) [11]Maedche A, Staab S. 2001. Ontology learning for the semantic web. IEEE Intelligent Systems, 16, 72-79. [12]Pan J H. 1987. FIshes and Fishery Resources of the Beijiang River in Pearl River System. Science and Technology Press, Guangdong, China. pp. 81-91. (in Chinese) [13]Pan J H, Zhong L, Zheng C Y, Wu H L, Liu J Z. 1991. The Freshwater Fishes of Guangdong Province. Guangdong Science and Technology Press, China. (in Chinese) [14]Qian P, Zheng Y L. 2006. The Research and Application of Agricultural Ontology. China Agricultural Science and Technology Press, Beijing, China. pp. 107-109. (in Chinese) [15]Smith K M, Welty C, McGuinness L D. 2009. OWL web ontology language guide. [2009-11-12]. http://www.w3. org/TR/owl-guide/ [16]Su Y R, Wang R J, Chen P , Wei Y Y, Li C X, Hu Y M. 2012. Agricultural ontology based feature optimization for agricultural text clustering. Journal of Integrative Agriculture, 11, 752-759.[17]Wang D Z, Li D J. 2001. Two new species of the genus triplophysa from Guizhou China. Acta Zootaxonomica Sinica, 1, 98-101. (in Chinese) [18]Ma J, Xie J N, Hou J J. 2007. Study on OWL-based construction method of defense products and organizations ontology. New Technology of Library and Information Service, 7, 14-17. (in Chinese) [19]Yu H, Liu X. 2007. Research and implementation of ontology-based fishery information retrieval system. Journal of Zhengzhou University, 12, 70-73. (in Chinese) [20]Yu Q M, Wang L, Huang D M. 2012. Fishery web service composition method based on ontology. Journal of Integrative Agriculture, 11, 792-799. [21]Zeng S Y, Jing Y, Zhang X Q, Yue H, Yang N S. 2010. The construction and application of fish base database. Chinese Agricultural Science Bulletin, 26, 382-387. (in Chinese) [22]Zheng C Y. 1989. The Fishes of Pearl River. Science Press, Beijing, China. pp. 119-150. (in Chinese) [23]Zheng X T, Zhang Y W. 2011. Fuzzy recognition method for fish ontology retrieving. Journal of Measurement Science and Instrumentation, 6, 185-187. (in Chinese) [24]Zheng Y L, Wang Z. 2004. Agricultural information resource development and management for the rural area in Guangdong. In: Proceedings of 2004 AFIFA/WCCA Joint Congress on IT in Agriculture. Bangkok, Thailand. pp. 886-890. [25]Zong N S, Zheng Y L, Wang Z. 2009. A SWRL rules parser algorithm based on the topic semantic comparability and ant colony algorithm. In: 2009 6th International Conference on Fuzzy Systems and Knowledge Discovery. IEEE, Tianjin, China. pp. 161-167. |
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