[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:

[1] Buitelaar P, Handschuh S, Magnini B.ECAI workshop on ontology learning and population:towards evaluation of text-based methods in the semantic web and knowledge discovery life cycle[A].In:The 16th European Conference on Artificial Intelligence[C].Valencia, Spain, 2004.1-6.
[2] Navigli R, Velardi P.Ontology enrichment through automatic semantic annotation of on-line glossaries [A].In:Proc of the 15th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2006), LNAI[C].Podebrady, Czech Republic, Springer, 2006, 4248:126-140.
[3] Brank Janez, Mladenic Dunja, Grobelnik Marko.Golden standard based ontology evaluation using instance assignment [A].In:The 4th International EON Workshop[C].Edinburgh, United Kingdom, 2006.47-54.
[4] Buitelaar P, Olejnik D, Sintek M.OntoLT:a protégé plug-in for ontology extraction from text [A].In:Proceedings of the International Semantic Web Conference (ISWC)[C].Florida, USA, 2003.17-22.
[5] Velardi P, Navigli R, Cuchiarelli A, et al.Evaluation of ontoLearn, a methodology for automatic learning of domain ontologies[A].In:Ontology Learning from Text:Methods, Evaluation and Applications [C].IOS Press, 2005.1-32.
[6] Sabou Marta.Learning web service ontologies:an automatic extraction method and its evaluation [A].In:ISWC2005[C].Osaka, Japan, 2005.98-116.
[7] Cimiano P, Staab S, Tane J.Automatic acquisition of taxonomies from text: FCA meets NLP[A].In:ECML/PKDD Workshop on Adaptive Text Extraction and Mining[C].Cavtat-Dubrovnik, Croatia, 2003.10-17.
[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.
[9] Maedche A, Staab S.Measuring similarity between ontologies [A].In:Proceedings of European Knowledge Acquisition Workshop (EKAW2002)[C].Madrid, Spain, 2002.251-263.
[10] Maedche A, Staab S.Ontology learning for the semantic web [J].IEEE Intelligent Systems, 2001, 16(2):72-79.

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.

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