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Title: E-business service semantic classification and retrieval
Authors: Segev, Aviv;Toch, E.
Contributors: 資管系
Keywords: Added values;Business service;Context analysis;E-services;eBusiness;Free texts;Retrieval;Semantic understanding;Service description;Service retrieval;Service semantics;Textual description;Classification (of information);Semantics;Text processing;Web services;Electronic commerce
Date: 2007
Issue Date: 2015-07-13 16:05:33 (UTC+8)
Abstract: In this work we provide an initial analysis of e-husinees service classification and retrieval. We present a process of associating e-business services with ontologies and show how the process can be similarly used for e-business service retrieval. The semantic understanding of business services may provide added value through the creation of new compositions of sendees. We analyze two common methods for text processing, TF/IDF and context analysis. We also compare the use of service description as a means for free text retrieval of categorized WSDL description of web service. Our initial results indicate that context analysis is more useful than TF/IDF and that free textual descriptions can be used for retrieval of categorized WSDL description using similar processes.
Relation: Proceedings of the International Conference on Electronic Business (ICEB)
7th International Conference on Electronic Business, ICEB 2007,2 December 2007 through 6 December 2007,Taipei
Data Type: conference
Appears in Collections:[資訊管理學系] 會議論文

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