From Web Resources to Agricultural Ontology: a Method for Semi-Automatic Construction

doi:10.1016/S1671-2927(00)8599

Journal of Integrative Agriculture ›› 2012, Vol. 11 ›› Issue (5): 775-783.DOI: 10.1016/S1671-2927(00)8599

From Web Resources to Agricultural Ontology: a Method for Semi-Automatic Construction

WEI Yuan-yuan, WANG Ru-jing, HU Yi-min, WANG Xue

1.Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031, P.R.China
2.School of Information Science and Technology, University of Science and Technology of China, Hefei 230026, P.R.China

收稿日期:2011-06-28 出版日期:2012-05-01 发布日期:2012-07-18
通讯作者: Correspondence WANG Ru-jing, Tel: +86-551-5592968, E-mail: rjwang@iim.ac.cn
基金资助:
This work was supported by the Knowledge Innovation Program of the Chinese Academy of Sciences.

From Web Resources to Agricultural Ontology: a Method for Semi-Automatic Construction

WEI Yuan-yuan, WANG Ru-jing, HU Yi-min, WANG Xue

1.Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031, P.R.China
2.School of Information Science and Technology, University of Science and Technology of China, Hefei 230026, P.R.China

Received:2011-06-28 Online:2012-05-01 Published:2012-07-18
Contact: Correspondence WANG Ru-jing, Tel: +86-551-5592968, E-mail: rjwang@iim.ac.cn
Supported by:
This work was supported by the Knowledge Innovation Program of the Chinese Academy of Sciences.

摘要/Abstract

摘要： In recent years, with the rapid development of information science, ontology becomes a popular research topic in the fields of knowledge engineering and information management. The reason for ontology being so popular is in large part due to what they promise: a shared and common understanding of some domain that can be communicated across people and computers. In the field of agriculture, FAO has started up the Agricultural Ontology Service (AOS) study project since 2001, AOS aims at providing knowledge service by agricultural domain ontology, it is the new seedtime for agricultural information service. However, establishing the ontology necessitates a great deal of expert assistance; manually setting it up would entail a lot of time, not to mention that there are only a handful of experts available. For this reason, using automatic technology to construct the ontology is a subject worth pursuing. A semi-automatic construction method for agricultural professional ontology from web resources is presented in this paper. For semi-structured web pages, the method automatically extracted and stored structured data through a program, built pattern mapping between relational database and ontology through human-computer interaction, and automatically generated a preliminary ontology, finally completed checking and refining by domain experts. The method provided a viable approach for ontology construction based on network resources in the actual work.

关键词: ontology, agricultural ontology service (AOS), agricultural pest, metadata collection

Abstract: In recent years, with the rapid development of information science, ontology becomes a popular research topic in the fields of knowledge engineering and information management. The reason for ontology being so popular is in large part due to what they promise: a shared and common understanding of some domain that can be communicated across people and computers. In the field of agriculture, FAO has started up the Agricultural Ontology Service (AOS) study project since 2001, AOS aims at providing knowledge service by agricultural domain ontology, it is the new seedtime for agricultural information service. However, establishing the ontology necessitates a great deal of expert assistance; manually setting it up would entail a lot of time, not to mention that there are only a handful of experts available. For this reason, using automatic technology to construct the ontology is a subject worth pursuing. A semi-automatic construction method for agricultural professional ontology from web resources is presented in this paper. For semi-structured web pages, the method automatically extracted and stored structured data through a program, built pattern mapping between relational database and ontology through human-computer interaction, and automatically generated a preliminary ontology, finally completed checking and refining by domain experts. The method provided a viable approach for ontology construction based on network resources in the actual work.

Key words: ontology, agricultural ontology service (AOS), agricultural pest, metadata collection

WEI Yuan-yuan, WANG Ru-jing, HU Yi-min, WANG Xue. From Web Resources to Agricultural Ontology: a Method for Semi-Automatic Construction[J]. Journal of Integrative Agriculture, 2012, 11(5): 775-783.

参考文献

[1]Anja J. 2009. Dbpedia-Extracting structured data from Wikipedia. In: Presentaion at Semantic Web in Bibliotheken. Cologne, Germany.

[2]Auer S, Bizer C, Kobilarov G, Lehmann J, Cyganiak R, Ives Z. 2007. DBpedia: a nucleus for a web of open data. In: Proceedings of the 6th International Semantic Web Conference and the 2nd Asian Semantic Web Conference.

[3]Busan, Korea. Baader F, McGuinness D L, Nardi D, Patel-Schnerder P F. 2003. The Description Logic Handbook: Theory, Implementation, and Applications. Cambridge University Press, UK.

[4]Beneventano D, Bergamaschi S, Bianco D, Guerra F, Vincini M. 2002. SI-web: a web based interface for the MOMIS project. In: Proceedings of the 10th Italian Symposium on Advanced Database Systems. Portoferraio, Italy. pp. 407-411.

[5]Blaschke C, Valencia A. 2002. Automatic ontology construction from the literature. Genome Informatics, 13, 201-213.

[6]Borst W N. 1997. Construction of engineering ontologies for knowledges sharing and resuse. Ph D thesis, University of Twente, Enschede. Celjuska D, Vargas-Vera M. 2004. Ontosophie: a semiautomatic system for ontology population from text. In: International Conference on Natural Language Processing. Hyderabad, India.

[7]Cui Y P. 2009. Study of Key Technologies of Agricultural Knowledge Management Based on Ontology. China Agricultural Science and Technology Press, Beijing, China. (in Chinese) [8]Du X Y, Li M, Wang S. 2006. A survey on ontology learning research. Journal of Software, 17, 1837-1847. (in Chinese)

[9]Fortuna B, Grobelnik M, Mladenic D. 2006. System for semiautomatic ontology construction. In: Proceedings of the 3rd European Semantic Web Conference. Budva, Montenegro. Graphviz-Graph Visualization Software. 2010. http://www. graphviz.org/

[10]Gruber T R. 1993. A translation approach to portable ontology specifications. Knowledge Acquisition, 5, 199-220.

[11]Gruber T R. 1995. Toward principles for the design of ontologies used for knowledge sharing. International Journal of Human-Computer Studies, 43, 907-928.

[12]HTML Parser. 2006. http://htmlparser.sourceforge.net/ Hu Y M, Song L T, Wei Y Y, Huang H, Wang X. 2012. Agricultural market name geo-locating system based on an administrative ontology and web search engine. Journal of Integrative Agriculture, 11, 849-857.

[13]Jung Y, Ryu J, Kim K, Myaeng S. 2010. Automatic construction of a large-scale situation ontology by mining how-to instructions from the web. Web Semantics: Science, Services and Agents on the World Wide Web, 8, 110-124.

[14]Li C X, Su Y R, Wang R J, Wei Y Y, Huang H. 2012. Semistructure AJAX data extraction based on agricultural ontology. Journal of Integrative Agriculture, 11, 784-791.

[15]Lonsdale D, Embley D W, Ding Y H, Xu L, Hepp M. 2010. Reusing ontologies and language components for ontology generation. Data and Knowledge Engineering, 69, 318-330.

[16]Noy N F, McGuinness D L. 2001. Ontology development 101: a guide to creating your first ontology. In: Stanford Knowledge Systems Laboratory Technical Report KSL-01-05 and Stanford Medical Informatics Technical Report SMI-2001-0880. Stanford, California, USA.

[17]Mcguinness D L, van Harmelen F. 2004. “OWL Web Ontology Language Overview”, W3C Recommendation. [2004-02-10]. http://www.w3.org/TR/2004/REC-owlfeatures-20040210/

[18]Paredes-Moreno A, Martinez-Lopez F J, Schwartz D G. 2010. A methodology for the semi-automatic creation of datadriven detailed business ontologies. Information Systems, 35, 758-773.

[19]Peffers K, Tuunanen T, Rothenberger M A, Chatterjee S. 2007. A design science research methodology for information systems research. Journal of Management Information Systems, 24, 45-77. Protégé. 2009. [2009-6-16]. http://protege.stanford.edu/

[20]Qian P, Zhen Y L. 2006. Research and Application on Agricultural Ontology. China Agricultural Science and Technology Press, Beijing. (in Chinese) Studer R, Benjamins V R, Fensel D. 1998. Knowledge engineering: principles and methods. Data and Knowledge Engineering, 25, 161-197.

[21]Suchanek F M, Kasneci G, Weikum G. 2007. Yago: a core of semantic knowledge. In: Proceedings of the 16th International World Wide Web Conference. ACM Press, New York, USA.

[22]Suchanek F M, Kasneci G, Weikum G. 2008. Yago: a large ontology from Wikipedia and WordNet. Web Semantics: Science, Services and Agents on the World Wide Web, 6, 203-217.

[23]Thomas C J. 2009. Just what is an ontology, anyway? IT Professional, 11, 22-27.

[24]Wu S H, Hsu W L. 2002. SOAT: a semi-automatic domain ontology acquisition tool from Chinese corpus. In: Proceedings of the 19th International Conference on Computational Linguistics Howard International House and Academia Sinica. Taipei, Taiwan, China.

From Web Resources to Agricultural Ontology: a Method for Semi-Automatic Construction

From Web Resources to Agricultural Ontology: a Method for Semi-Automatic Construction

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