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dc.contributor.authorLin, Szu-Yinen_US
dc.contributor.authorChung, Chia-Chenen_US
dc.contributor.authorHu, Wei-Cheen_US
dc.contributor.authorHung, Chihlien_US
dc.date.accessioned2017-04-21T06:49:48Z-
dc.date.available2017-04-21T06:49:48Z-
dc.date.issued2015en_US
dc.identifier.isbn978-1-4673-8002-7en_US
dc.identifier.urihttp://dx.doi.org/10.1109/ICEBE.2015.69en_US
dc.identifier.urihttp://hdl.handle.net/11536/135446-
dc.description.abstractOWL-S (formally DAML-S) is an OWL-based Web services ontology, which gives the ability for describing the semantics of Web services and their capabilities in a formal and machine-processable manner. Moreover, it is helpful to semantic services matching, selection, and composition. However, it is a very complicated and heavy task to annotate semantic Web services manually by human. In this paper, we proposed a methodology to discover knowledge from the history data and profiles of Web services, and then semantic annotate them automatically. With the proposed approach, semantic relations between Web services could be extracted by combining association rules and input/output matching. We also give a scenario to explain how the proposed methodology works.en_US
dc.language.isoen_USen_US
dc.subjectWeb Servicesen_US
dc.subjectSemantic Annotationen_US
dc.subjectKnowledge Discovery in Servicesen_US
dc.subjectOWL-Sen_US
dc.titleAutomatic Knowledge Discovery and Semantic Annotation for Web Servicesen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1109/ICEBE.2015.69en_US
dc.identifier.journal2015 IEEE 12TH INTERNATIONAL CONFERENCE ON E-BUSINESS ENGINEERING (ICEBE)en_US
dc.citation.spage371en_US
dc.citation.epage376en_US
dc.contributor.department資訊管理與財務金融系 註:原資管所+財金所zh_TW
dc.contributor.departmentDepartment of Information Management and Financeen_US
dc.identifier.wosnumberWOS:000377382000052en_US
dc.citation.woscount0en_US
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