Clustering OWL documents based on semantic analysis - 文章详情页

作者：

Gao, Mingxia (Gao, Mingxia.) | Liu, Chunnian (Liu, Chunnian.) | Chen, Furong (Chen, Furong.)

收录：

EI Scopus

摘要：

Clustering　OWL　documents　on　the　WWW　or　the　Semantic　Web　is　an　important　task　in　domain　of　ontology　research　and　WI　research.　This　paper　analyzes　semantic　of　OWL　documents　and　proposes　a　method　for　computing　semantic　similarity　between　OWL　documents.　The　method　considers　inheritance　of　objects　and　representation　of　complex　classes.　It　can　be　used　in　clustering　OWL　documents　built　by　experts　and　OWL　documents　learned　by　automatic　tools.　©　Springer-Verlag　Berlin　Heidelberg　2005.

关键词：

Computational complexity Information retrieval systems Semantics Object oriented programming Research Information management Computational methods

作者机构：

[ 1 ] [Gao, Mingxia]Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology, Beijing University of Technology, 100022, Beijing
[ 2 ] [Liu, Chunnian]Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology, Beijing University of Technology, 100022, Beijing
[ 3 ] [Chen, Furong]R and D Center, TravelSky Technology Limited

通讯作者信息：

电子邮件地址：

gaomx@emails.bjut.edu.en

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