Please wait a minute...
Journal of Integrative Agriculture  2012, Vol. 11 Issue (5): 808-822    DOI: 10.1016/S1671-2927(00)8603
SECTION 3: Application Advanced Online Publication | Current Issue | Archive | Adv Search |
Large-Scale Ontology Development and Agricultural Application Based on Knowledge Domain Framework
 MENG Xian-xue, SU Xiao-lu, HU Hai-yan, WANG Yi-qian
1.Institute of Agricultural Information, Chinese Academy of Agricultural Sciences, Beijing 100081, P.R.China
2.National Library of Standards, China National Institute of Standardization, Beijing 100088, P.R.China
3.Key Laboratory of Agri-Information Service Technology, Ministry of Agriculture, Beijing 100081, P.R.China
Download:  PDF in ScienceDirect  
Export:  BibTeX | EndNote (RIS)      
摘要  The key activity to build semantic web is to build ontologies. But today, the theory and methodology of ontology construction is still far from ready. This paper proposed a theoretical framework for massive knowledge management - the knowledge domain framework (KDF), and introduces an integrated development environment (IDE) named large-scale ontology development environment (LODE), which implements the proposed theoretical framework. We also compared LODE with other popular ontology development environments in this paper. The practice of using LODE on management and development of agriculture ontologies shows that knowledge domain framework can handle the development activities of large scale ontologies. Application studies based on the principle of knowledge domain framework and LODE was described briefly.

Abstract  The key activity to build semantic web is to build ontologies. But today, the theory and methodology of ontology construction is still far from ready. This paper proposed a theoretical framework for massive knowledge management - the knowledge domain framework (KDF), and introduces an integrated development environment (IDE) named large-scale ontology development environment (LODE), which implements the proposed theoretical framework. We also compared LODE with other popular ontology development environments in this paper. The practice of using LODE on management and development of agriculture ontologies shows that knowledge domain framework can handle the development activities of large scale ontologies. Application studies based on the principle of knowledge domain framework and LODE was described briefly.
Keywords:  massive knowledge management      knowledge domain framework (KDF)      large-scale ontology development environment (LODE)      agricultural application  
Received: 22 February 2011   Accepted:
Fund: 

The research was supported by the Key Technology R&D Program of China during the12th Five-Year Plan period: Super-Class Scientific and Technical Thesaurus and Ontology Construction Faced the Foreign Scientific and Technical Literature (2011BAH10B01).

Corresponding Authors:  Correspondence SU Xiao-lu, Tel:+86-10-82109655, E-mail: suxiaolu@mail.caas.net.cn     E-mail:  suxiaolu@mail.caas.net.cn
About author:  MENG Xian-xue, Tel: +86-10-82109918, E-mail: meng@mail.caas.net.cn; LI Jing, Tel: +86-10-58811325, E-mail: lij@cnis.gov.cn;

Cite this article: 

MENG Xian-xue, SU Xiao-lu, HU Hai-yan, WANG Yi-qian. 2012. Large-Scale Ontology Development and Agricultural Application Based on Knowledge Domain Framework. Journal of Integrative Agriculture, 11(5): 808-822.

[1]Gómez-Pérez A, Suárez-Figueroa M C. 2009. Scenarios for building ontology networks within the NeOn methodology. In: Proceedings of the Fifth International Conference on Knowledge Capture. ACM New York, NY. pp. 183-184.

[2]Blomqvist E, Daga E, Gangemi A. 2010. Conceptualizing using ODPs. [2011-01-06]. http://neon-project.org/webcontent/ media/book-chapters/Chapter-12.pdf

[3]Flavell J H. 1981. Cognitive monitoring. In: Dickson W P, ed., Children’s Oral Communication Skills. Academic Press, New York, USA. pp. 35-60.

[4]Frankel D S. 2003. Model Driven Architecture. Wiley Publishing, Inc. Indianapolis, Indiana.

[5]Haase P, Rudolph S, Wang Y M. 2010. D1.1.2: Updated version of the Networked ontology model. [2011-01-06]. http://www.neon-project.org/nw/Deliverables

[6]Abran A, Moore J W, Bourque P, Dupuis R, Tripp L L. Guide to the Software Engineering Body of Knowledge, 2004 ver. IEEE Computer Society Press, USA. Kingston J. 2008. Multi-perspective ontologies: resolving common ontology development problems. Expert Systems with Applications, 34, 541-550.

[7]Li J, Meng X X, Su X L. 2009. Research on Domain Ontology Building and Application. China Agricultural Science and Technology Press, Beijing, China. (in Chinese)

[8]Li M, Wang D Z, Du X Y. 2005. Ontology construction for semantic web: A role-based collaborative development method. In: Web Technologies Research and Development-APWeb 2005. Springer-Verlag, German. pp. 609-619.

[9]Morita T, Fukuta N, Izumi N. 2008. Oddle-owl: interactive domain ontology development with open source software in Java. IEICE Transactions on Information and Systems, 4, 945-958.

[10]Na H S, Choi H O, Lim J E. 2006. A method for building domain ontologies based on the transformation of UML models. In: 4th International Conference on Software E n g i n e e r i n g R e s e a r c h , M a n a g e m e n t a n d Applications. Seattle, Washington D.C., USA (SERA). pp. 332-338.

[11]Natalya F N, Tudorache T. 2008. Collaborative ontology development on the (semantic) web. In: AAAI Spring Symposium. AAAI Press, USA. pp. 63-68.

[12]Object Management Group. 2010. Meta object facility (mof) core specification. [2011-01-06]. http://www.omg.org/ cgi-bin/doc?formal/06-01-01.pdf

[13]Rezgui Y. 2007. Text-based domain ontology building using TF-IDF and metric clusters techniques. The Knowledge Engineering Review, 229, 379-403.

[14]Su X L, Zhang Y, Meng X X. 2010. Research on providing personalized information service by modeling user’s knowledge structure with ontology. In: Computer and Computing Technologies in Agriculture-I I , Proceeding of the World Automation Congress. TSI Press, USA. pp. 483-492.

[15]Tao T Y, Zhao M. An ontology-based information retrieval model for vegetables e-commerce. Journal of Integrative of Agriculture, 2012, 11, 800-807.

[16]Tsoi L C, Patel R, Zhao W. 2009. Text-mining approach to evaluate terms for ontology development. Journal of Biomedical Informatics, 42, 824-830.

[17]Xian G J, Zhao R X. 2012. A review and prospects on collaborative ontology editing tools. Journal of Integrative of Agriculture, 2012, 11, 731-740.

[18]Zhao S X, Chang E, Dillon T. 2008. Knowledge extraction from web-based application source code: an approach to database reverse engineering for ontology development. In: 2008 IEEE International Conference on Information Reuse and Integration. IEEE Computer Society Press, USA. pp. 153-159.
[1] WANG Yan-fang, HUANG Jiao-jiao, ZHAO Jian-guo. Gene engineering in swine for agriculture[J]. >Journal of Integrative Agriculture, 2017, 16(12): 2792-2804.
No Suggested Reading articles found!