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