DocumentCode
3501775
Title
ARES: A Semantic Solution for Business Collaboration
Author
Chamizo, Javier ; Garcia-Sanchez, F. ; Hernandez, Yves ; Alor-Hernandez, G. ; Gomez, Jorge Marx ; Posada-Gomez, Ruben
Author_Institution
Dept. de Inf., Univ. Carlos III de Madrid, Madrid
fYear
2008
fDate
27-31 Oct. 2008
Firstpage
408
Lastpage
413
Abstract
Service industry is a major constituent of developed economies. Providing services is a knowledge-intensive, customer-specific, on-demand business. In the business information systems domain, service-oriented architectures (SOA) and Web services (WS), as an emerging approach to moving services into the computing world, are two of the most discussed topics in the areas related to Internet research. Today, technical questions of distributed computing, service description, composition, architectures and utilisation prevail, particularly, new forms and dimensions of intra- and inter-enterprise integration, coordination and availability of resources. In this paper, we present the ARES platform, a new promising approach developed together with Indra SoftwareLabs, one of the biggest Spanish software technology provider, integrates service-centric applications to provide a solution to the development of value-added tasks to be carried out by different organizations.
Keywords
Web services; business data processing; software architecture; Indra SoftwareLabs; Internet research; Spanish software technology provider; Web services; business collaboration; business information systems domain; distributed computing; semantic solution; service description; service industry; service-centric applications; service-oriented architectures; Art; Artificial intelligence; Automation; Collaboration; Collaborative software; Collaborative work; Semantic Web; Service oriented architecture; Web and internet services; Web services; Semantic Business Collaboration; Semantic Web Services;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence, 2008. MICAI '08. Seventh Mexican International Conference on
Conference_Location
Atizapan de Zaragoza
Print_ISBN
978-0-7695-3441-1
Type
conf
DOI
10.1109/MICAI.2008.71
Filename
4682497
Link To Document