Business process implementation using an ontology-driven Web service selection algorithm

Sophea Chhun (1) , Chantal Cherifi (1) , Néjib Moalla (1) , Yacine Ouzrout (1)

1 DISP - Décision et Information pour les Systèmes de Production

The constraints on business process applications in terms of automation and reusability makes their development a challenging issue. To manage the variety of business process requirements, agile methods are required. Classically, business processes are implemented in a static way, what makes any evolution costly to realize. To cope with those needs, we propose the use of Web services to implement business processes. Web services and the designed business processes are stored in ontologies. An efficient multi-criteria service selection algorithm performs a semantic matching between the ontologies. It selects the most appropriate Web services among the existing ones for implementing a business process. This algorithm considers the business context, functional and QoS properties of the Web services. The user is asked for weights on QoS attributes. WordNet is integrated to solve the synonym problems. To be closer to reality and for more accurate results, our algorithm takes into account the changing values of QoS over time.

Mots clés: Business process; Multi-criteria Service selection; Ontology; QoS

Domaines: Web; Informatique [cs]

Sophea Chhun, Chantal Cherifi, Néjib Moalla, Yacine Ouzrout. Business process implementation using an ontology-driven Web service selection algorithm. 5ème Journées Francophones sur les Ontologies (JFO 2014), Nov 2014, Hammamet, Tunisia. ⟨hal-01534554⟩