Authors:
Hadjer Khider
1
;
2
;
Slimane Hammoudi
3
and
Abdelkrim Meziane
2
Affiliations:
1
Computer Science Department, Faculty of Exact Sciences, University of Bejaia, Bejaia 06000, Algeria
;
2
Information Systems and Multimedia Systems Department, CERIST, Algiers, Algeria
;
3
ERIS Team, Computer Science Department – ESEO, Angers, France
Keyword(s):
Business Process Model Reuse, User Business Profile, Business Process Modeling, Recommender System, MDA, Meta Models, Transformation, Weaving, Recommendation Business Process Model.
Abstract:
Business Process (BP) model repositories have been proposed to store models of BP and make them available to their stakeholders for future reuse. One of the challenges facing users of such repositories concerns the retrieval of models that suit their business needs in a given situation, which is not provided by current repositories. In order to overcome this lack, one important issue to investigate is to provide recommendation of BP models based on the user profile as the most important way to better meet his business needs which promote BP model reusability. In this paper, we propose a conceptual framework of BP model recommendation based on the user social profile and implemented as a transformation process in model driven engineering (MDE). In our experiments, the LinkedIn social network is used to extract the users’ business interests. These user business interests are then used to recommend the appropriate BP models that could fit to the user. Our proposed framework is based on
model driven architecture (OMG MDE approach) where techniques of models, metamodels, transformation and weaving are used to implement a generic recommendation process.
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