DocumentCode
3413711
Title
A multi-layered agent ontology system for resource inventory
Author
Adamo, Alfredo ; Cafaro, Luigi ; Loia, Vincenzo ; Romano, C. ; Veniero, Mario
Author_Institution
I.T. Staff s.p.a., Milano
fYear
2008
fDate
June 30 2008-July 2 2008
Firstpage
2317
Lastpage
2322
Abstract
Nowadays, worldwide public utility services providers feel the necessity of new flexible and scalable solutions aimed at managing their distribution networks and services. This is fundamentally due to the continuously technological evolution of distribution network infrastructures that impacts deeply on the software in charge of handling the services supply chain management. The purpose of this paper is to present an innovative system aimed at defining a new approach to resource inventory. This approach is designed both to reduce the influence of infrastructure evolution and to enable value-added services performed by autonomous intelligent agents. Based on the integration of semantic web technologies and agents paradigm, the systempsilas mission is to define a new ontology-based model for resource inventory. Moreover, the system defines a new behavioral model enabling software agents to effectively react to the network environment in which they are embedded.
Keywords
goods distribution; inventory management; mobile agents; ontologies (artificial intelligence); public utilities; supply chain management; autonomous intelligent agents; distribution network infrastructures; multilayered agent ontology system; public utility services providers; resource inventory; services supply chain management; software agents; Application software; Communication industry; Engineering management; Intelligent agent; Inventory control; Inventory management; Investments; Mathematics; Ontologies; Semantic Web; behavioral modeling; intelligent agents; ontological modeling; resource inventory; semantic web;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics, 2008. ISIE 2008. IEEE International Symposium on
Conference_Location
Cambridge
Print_ISBN
978-1-4244-1665-3
Electronic_ISBN
978-1-4244-1666-0
Type
conf
DOI
10.1109/ISIE.2008.4677223
Filename
4677223
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