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Towards Optimized Data Fetching for Service Discovery

ARAN - Access to Research at NUI Galway

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dc.contributor.author Zaremba, Maciej en
dc.contributor.author Vitvar, Tomas en
dc.contributor.author Moran, Matthew en
dc.date.accessioned 2009-11-27T14:55:52Z en
dc.date.available 2009-11-27T14:55:52Z en
dc.date.issued 2007 en
dc.identifier.citation Maciej Zaremba, Tomas Vitvar, Matthew Moran "Towards Optimized Data Fetching for Service Discovery", Proceedings of the Fifth IEEE European Conference on Web Services (ECOWS), IEEE Computer Society, 2007. en
dc.identifier.uri http://hdl.handle.net/10379/435 en
dc.description.abstract The advent of Service Oriented Architecture makes services the most flexible, platform-independent choice for exposing and integrating business functionality across a network. However, the lack of service discovery mechanisms, that go beyond simple keyword search to enable automated late-binding of service requesters to providers, remains a major problem. Realistic late-binding involves matchmaking of client requests with service descriptions, based on frequently changing fine-grained client requests, and dynamically changing service functionality. The intricacies of service functionality cannot be specified by generic static descriptions since the functionality offered by the service may depend on the client at hand, their specific request and the service¿s current capabilities. In this paper, we pro- pose a semantic framework supporting dynamic data fetching from services during the discovery phase on service instance level entailing a communication overhead which we aim to minimize. en
dc.format application/pdf en
dc.language.iso en en
dc.publisher IEEE en
dc.subject.lcsh Service-oriented architecture (Computer science) en
dc.subject.lcsh Business enterprises -- Computer networks en
dc.title Towards Optimized Data Fetching for Service Discovery en
dc.type Conference paper en
dc.local.publisherstatement ©2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE en
dc.description.peer-reviewed peer-reviewed en
dc.contributor.funder SUPER en
dc.contributor.funder SemanticGov en
dc.contributor.funder Knowledge Web en
dc.contributor.funder Science Foundation Ireland en

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