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Semantic integration of business applications across collaborative value networks

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dc.contributor.author Bouras, A en
dc.contributor.author Gouvas, P en
dc.contributor.author Kourtesis, D en
dc.contributor.author Mentzas, G en
dc.date.accessioned 2014-03-01T01:27:14Z
dc.date.available 2014-03-01T01:27:14Z
dc.date.issued 2007 en
dc.identifier.issn 15715736 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/18356
dc.subject Business To Business en
dc.subject Enterprise Application Integration en
dc.subject meta model en
dc.subject Semantic Integration en
dc.subject Service Discovery en
dc.title Semantic integration of business applications across collaborative value networks en
heal.type journalArticle en
heal.identifier.primary 10.1007/978-0-387-73798-0_58 en
heal.identifier.secondary http://dx.doi.org/10.1007/978-0-387-73798-0_58 en
heal.publicationDate 2007 en
heal.abstract If we try to increase the level of automation in Business-to-Business (B2B) Enterprise Application Integration (EAI) scenarios, we confront challenges related to the resolution of data heterogeneities, service discovery and process composition. In this paper, we propose the Enterprise Interoperability Ontology (ENIO) that provides a shared, common understanding of data, services and processes within B2B integration scenarios. ENIO consists of an Upper Enterprise Interoperability Ontology (Upper ENIO), which is based on the DOLCESUMO alignment, with extensions called facets that cover several dimensions of the EAI domain. Each facet contains a relative meta-model that utilizes widely adopted standards. Finally, we demonstrate the utilization of ENIO in a real-world B2B scenario across a franchisor-franchisees collaborative value network. © 2007 Springer Science+Business Media, LLC. en
heal.journalName IFIP International Federation for Information Processing en
dc.identifier.doi 10.1007/978-0-387-73798-0_58 en
dc.identifier.volume 243 en
dc.identifier.spage 539 en
dc.identifier.epage 546 en


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