A two-phased ontology selection approach for semantic Web

Tzung Pei Hong, Wen Chang Chang, Jiann Horng Lin

研究成果: 書貢獻/報告類型會議貢獻

2 引文 斯高帕斯(Scopus)

摘要

In this paper, we attempt to propose a two-phased ontology selection approach. Users can describe their requirements through a two-level requirement analysis model. The coarse-level analysis model is quite simple, only used for describing the main domains covered by the desired ontology and for selecting a fixed number of promising candidate source ontologies. The fine-level analysis model then refines the coarse-level model by defining the details in each domain. It is used to find the best matched ontology from the candidates from phase 1. The token extraction module and the WordNet system are also used to help for flexible match. The proposed selection approach can help easily find an appropriate ontology for a new application.
原文英語
主出版物標題Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings
頁面403-409
頁數7
出版狀態已發佈 - 十二月 1 2005
對外發佈
事件9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005 - Melbourne, 澳大利亚
持續時間: 九月 14 2005九月 16 2005

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
3684 LNAI
ISSN(列印)0302-9743
ISSN(電子)1611-3349

會議

會議9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005
國家/地區澳大利亚
城市Melbourne
期間9/14/059/16/05

ASJC Scopus subject areas

  • 理論電腦科學
  • 電腦科學(全部)

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