DocumentCode :
3423883
Title :
ENIO: An Enterprise Application Integration Ontology
Author :
Bouras, Athanasios ; Gouvas, Panagiotis ; Mentzas, Gregoris
Author_Institution :
Nat. Tech. Univ. of Athens, Athens
fYear :
2007
fDate :
3-7 Sept. 2007
Firstpage :
419
Lastpage :
423
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.
Keywords :
business data processing; ontologies (artificial intelligence); open systems; DOLCE-SUMO alignment; enterprise application integration ontology; enterprise interoperability ontology; Application software; Automation; Data structures; Databases; Documentation; Expert systems; Impedance; Ontologies; Service oriented architecture; Web services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Database and Expert Systems Applications, 2007. DEXA '07. 18th International Workshop on
Conference_Location :
Regensburg
ISSN :
1529-4188
Print_ISBN :
978-0-7695-2932-5
Type :
conf
DOI :
10.1109/DEXA.2007.25
Filename :
4312928
Link To Document :
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