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[1] Liu Baisong, Gao Ji,. General ontology learning framework [J]. Journal of Southeast University (English Edition), 2006, 22 (3): 381-384. [doi:10.3969/j.issn.1003-7985.2006.03.019]
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
22
Issue:
2006 3
Page:
381-384
Research Field:
Computer Science and Engineering
Publishing date:
2006-09-30

Info

Title:
General ontology learning framework
Author(s):
Liu Baisong1 2 Gao Ji1
1College of Computer Science, Zhejiang University, Hangzhou 310027, China
2Network Center, Ningbo University, Ningbo 315211, China
Keywords:
ontology ontology learning ontology evaluation semantic web
PACS:
TP312.1
DOI:
10.3969/j.issn.1003-7985.2006.03.019
Abstract:
In order to reduce the costs of the ontology construction, a general ontology learning framework(GOLF)is developed.The key technologies of the GOLF including domain concepts extraction and semantic relationships between concepts and taxonomy automatic construction are proposed.At the same time ontology evaluation methods are also discussed.The experimental results show that this method produces better performance and it is applicable across different domains.By integrating several machine learning algorithms, this method suffers less ambiguity and can identify domain concepts and relations more accurately.By using generalized corpus WordNet and HowNet, this method is applicable across different domains.In addition, by obtaining source documents from the web on demand, the GOLF can produce up-to-date ontologies.

References:

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[8] Thanh Tho Quan, Siu Cheung Hui, ACM Fong, et al.Automatic generation of ontology for scholarly semantic web[A].In:ISWC2004, LNCS[C].Hiroshima, Japan, 2004, 3298:726-740.
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Memo

Memo:
Biographies: Liu Baisong(1971—), male, graduate, associate professor, lbs@nbu.edu.cn;Gao Ji(corresponding author), male, professor, gaoji@mail.hz.zj.cn.
Last Update: 2006-09-20