DocumentCode
2025278
Title
Collaborative Process Deduction through a Knowledge-Based System
Author
Benaben, Frederick ; Pingaud, Herve ; Rajsiri, Vatcharaphun ; Lorre, Jean-Pierre
Author_Institution
Mines ALBI, Univ. de Toulouse, Albi, France
fYear
2011
fDate
Aug. 29 2011-Sept. 2 2011
Firstpage
503
Lastpage
507
Abstract
This paper presents an ontology-based approach for the design of a Collaborative Business Process model (CBP). The study is part of a model driven engineering approach of mediation information systems. We developed a Knowledge-Based System (KBS), which is composed of three main parts: knowledge gathering, knowledge representation & reasoning, and collaborative business process modeling. The knowledge gathering part starts from a high abstraction level where knowledge from business partners is captured. As a result a Collaboration Ontology (CO) is defined in order to provide a structure to store and use the captured knowledge. In parallel, we try to reuse generic existing knowledge about business processes from the MIT Process Handbook repository. This result in a Collaboration Process Ontology (CPO) described in this paper. The relationship between concepts of both CO and CPO are also described in order to introduce a justification to the set of transformation rules (not described in this article) that are used in the full approach in order to extract knowledge to build the CBP model.
Keywords
business data processing; groupware; inference mechanisms; information systems; knowledge based systems; ontologies (artificial intelligence); MIT process handbook repository; collaboration process ontology; collaborative business process model; collaborative process deduction; knowledge gathering; knowledge representation; knowledge-based system; mediation information systems; model driven engineering approach; ontology-based approach; reasoning; Collaboration; Collaborative work; Knowledge based systems; Ontologies; Organizations; Topology; Collaborative process; knowledge-based system; model transformation; ontology;
fLanguage
English
Publisher
ieee
Conference_Titel
Database and Expert Systems Applications (DEXA), 2011 22nd International Workshop on
Conference_Location
Toulouse
ISSN
1529-4188
Print_ISBN
978-1-4577-0982-1
Type
conf
DOI
10.1109/DEXA.2011.100
Filename
6059867
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