A Hybrid Firefly-inspired Approach for Optimal Semantic Web Service Composition

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Cristina Bianca Pop
Viorica Rozina Chifu
Ioan Salomie
Ramona Bianca Baico
Mihaela Dinsoreanu
Georgiana Copil


Inspired from biology, in this paper we propose a hybrid firefly method for selecting the optimal solution in semantic Web service composition. In our approach, the search space of the selection method is represented by an Enhanced Planning Graph structure which encodes all the Web service composition solutions for a given user request. As selection criteria we have considered the QoS attributes of the services involved in the composition as well as the semantic similarity between them. For the evaluation of the proposed selection method we have implemented an experimental prototype and carried out experiments on a scenario from the trip planning domain.

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