ENIO: An enterprise application integration ontology

Bouras, A; Gouvas, P; Mentzas, G

dc.contributor.author	Bouras, A	en
dc.contributor.author	Gouvas, P	en
dc.contributor.author	Mentzas, G	en
dc.date.accessioned	2014-03-01T02:44:36Z
dc.date.available	2014-03-01T02:44:36Z
dc.date.issued	2007	en
dc.identifier.issn	15294188	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31900
dc.subject	Enterprise Application Integration	en
dc.subject	meta model	en
dc.subject	Service Discovery	en
dc.subject.other	Administrative data processing	en
dc.subject.other	Applications	en
dc.subject.other	Decision support systems	en
dc.subject.other	Expert systems	en
dc.subject.other	Integration	en
dc.subject.other	Ontology	en
dc.subject.other	Problem solving	en
dc.subject.other	Technical presentations	en
dc.subject.other	Common understandings	en
dc.subject.other	Data heterogeneities	en
dc.subject.other	Do-mains	en
dc.subject.other	Enterprise application integrations	en
dc.subject.other	Service discoveries	en
dc.subject.other	Database systems	en
dc.title	ENIO: An enterprise application integration ontology	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/DEXA.2007.25	en
heal.identifier.secondary	http://dx.doi.org/10.1109/DEXA.2007.25	en
heal.identifier.secondary	4312928	en
heal.publicationDate	2007	en
heal.abstract	If we try to increase the level of automation in 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 enterprise application integration scenarios. ENIO consists of an Upper EAI ontology, which is based on the DOLCE-SUMO 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. © 2007 IEEE.	en
heal.journalName	Proceedings - International Workshop on Database and Expert Systems Applications, DEXA	en
dc.identifier.doi	10.1109/DEXA.2007.25	en
dc.identifier.spage	419	en
dc.identifier.epage	423	en