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dc.description.abstract In this paper, we focus on two problems of the Web service-based business process integration: the discovery of Web services based on the capabilities and properties of published services, and the composition of business processes based on the business requirements of submitted requests. We propose a solution to these problems, which comprises multiple matching algorithms, a micro-level matching algorithm and macro-level matching algorithms. The solution from the macro-level matching algorithms is optimal in terms of meeting a certain business objective, e.g., minimizing the cost or execution time, or maximizing the total utility value of business properties of interest. Furthermore, we show how existing Web service standards, UDDI and BPEL4WS, can be used and extended to specify the capabilities of services and the business requirements of requests, respectively. en
dc.format.extent 10 p. es
dc.language en es
dc.title Web service-based business process automation using matching algorithms en
dc.type Objeto de conferencia es
sedici.identifier.isbn 0-387-34655-4 es
sedici.creator.person Kim, Yanggon es
sedici.creator.person Lee, Juhnyoung es
sedici.description.note Applications in Artificial Intelligence - Ontologies and Intelligent Web es
sedici.subject.materias Ciencias Informáticas es
sedici.subject.keyword business process automation en
sedici.subject.keyword matching en
sedici.description.fulltext true es Red de Universidades con Carreras en Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
sedici.rights.uri 2006-08
sedici.relation.event 19 th IFIP World Computer Congress - WCC 2006 es
sedici.description.peerReview peer-review es
sedici.subject.acmcss98 Web-based services es
sedici.subject.acmcss98 Business es

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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)