Research on Automatic Construction of Financial Ontology Using Chinese Encyclopedia Resource

Abstract:

Ontology plays a dominant role in a growing number of different fields, such as information retrieval, artificial intelligence, semantic Web and knowledge management, etc. However, manual construction of large ontology is not feasible. This article discusses how to create Financial Ontology automatically from a resource of Chinese Encyclopedia. Financial Ontology includes Is-A relationship, Class-Instance relationship, Attribute-of relationship and Synonym relationship. Experimental Results show us that the constructed Financial Ontology has great advantages in the large scale, creation cost and the richness of semantic information.

• Periodical: Advanced Materials Research (Volumes 765-767)
• Pages: 1240-1244
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.765-767.1240
• Online since: September 2013
• Authors: Qian Mo, Shu Zhang
• Keywords: Encyclopedia, Financial, Ontology

References

[1] R Studer, VR Benjamins, D Fensel, Knowledge engineering: Principles and methods, in: Data & Knowledge Engineering (DKE), 1998, pp.161-197.

DOI: 10.1016/s0169-023x(97)00056-6

[2] Nakayama, K., Hara, T. and Nishio, S, Wikipedia mining for an association web thesaurus construction, in: Proceedings of the 8th international conference on Web information systems engineering, Springer Berlin Heidelberg, 2007, pp.322-334.

DOI: 10.1007/978-3-540-76993-4_27

[3] Sören Auer1, Christian Bizer, Georgi Kobilarov, Jens Lehmann, Richard Cyganiak, Zachary Ives, Dbpedia: A nucleus for a web of open data, Lecture Notes in Computer Science, Springer Berlin Heidelberg, 2007, pp.722-735.

DOI: 10.1007/978-3-540-76298-0_52

[4] Li Lian, Jun Ma, Jingsheng Lei, and Ling Song, Automated Construction Chinese Domain Ontology from Wikipedia. In: Proceedings of the 2008 Fourth International Conference on Natural Computation, IEEE Computer Society, Washington DC, USA, 2008, pp.670-674.

DOI: 10.1109/icnc.2008.717

[5] Fabian M. Suchanek, Gjergji Kasneci, Gerhard Weikum, YAGO: A Core of Semantic Knowledge Unifying WordNet and Wikipedia, in: Proceedings of the 16th international conference on WWW (Banff, Alberta, Canada), New York, 2007, pp.697-706.

DOI: 10.1145/1242572.1242667

[6] Simone Paolo Ponzetto, Michael Strube, Deriving a Large Scale Taxonomy from Wikipedia, in: Proceedings of the 22nd national conference on Artificial intelligence, AAAI Press, 2007, pp.1440-1447.

[7] Hong bin, Wang, Da xin, Liu, Nian bin, Wang, Tong Wang, Research on sieving algorithm of domain-specific concept from ontology learning (in Chinese), Systems Engineering and Electronics, China , (2010).

[8] Lu Yong, Hou Hanqing, Research on Automatic Acquiring of Chinese Synonyms from Wiki Repository, in: Proceedings of Web Intelligence and Intelligent Agent Technology International Conference (WI-IAT '08, Sydney, NSW), 2008, pp: 287-290.

DOI: 10.1109/wiiat.2008.95

[9] Wang Lei, Zhou Kuanjiu, Qiu Peng, Automatic Domain Ontology Construction (in Chinese), Journal of the China Society for Scientific and Technical Information, China , (2010).