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A Usage-Based Unified Resource Model
Wautelet, Yves; Heng, Samedi; Kolp, Manuel
2012In The 24th International Conference on Software Engineering and Knowledge Engineering
Peer reviewed
 

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Keywords :
Resource Representation; Resource Monitoring; Resource Ontology
Abstract :
[en] Most of the time engineering methodologies focus on the modeling of functional and non-functional requirements of the system-to-be with no or poor representation of resource elements. Resources are nevertheless central in most industrial domains and do have an important impact onto the performance and feasability of software requirements. That is why we propose, in this paper, an ontology for resource representation centered on its Usage i.e., the concepts of functionality for Resource Objects and competency for Resource Agents. This ontology does not tackle the particular problem of service level agreement which is a complementary dimension but rather focuses on how resources can be represented and handled at runtime. Heterogeneous resources can thus be represented in a unified manner within the context of “resource-intensive” domains where information systems are developed. Moreover, it could also be used to develop a specific heterogeneous monitoring system with, for instance, the agent technology so that it acts for interoperability purposes. The ontology proposal is applied on a case study in the industrial context of a steel industry, namely CARSID where lots of resources are collaborating to achieve defined services. The purpose is to show the applicability of the ontology in an industrial context where resources play a central role for the information system.
Research center :
LouRIM
Disciplines :
Computer science
Management information systems
Author, co-author :
Wautelet, Yves
Heng, Samedi ;  Université de Liège - ULiège > HEC Liège : UER > Digital Business
Kolp, Manuel
Language :
English
Title :
A Usage-Based Unified Resource Model
Publication date :
July 2012
Event name :
The 24th International Conference on Software Engineering and Knowledge Engineering
Event place :
San Francisco Bay, United States
Event date :
1 - 3 Juillet
Audience :
International
Main work title :
The 24th International Conference on Software Engineering and Knowledge Engineering
Pages :
299-304
Peer reviewed :
Peer reviewed
Funders :
UCL - Université Catholique de Louvain [BE]
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since 04 November 2018

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