Work place: EEDIS Laboratory, Computer Science Department. Djillali LIABES University, Sidi Bel Abbes, Algeria
E-mail: afaf.merazi@univ-sba.dz
Website:
Research Interests: World Wide Web
Biography
Afaf Merazi: received the Engineer Degree and the Magister degree in Computer Science from DJILLALI LIABES University of Sidi Bel Abbes (Algeria) in 2005 and 2007, respectively. Actually, she is a PhD student in Computer Science Department at the DJILLALI LIABES University of Sidi Bel Abbes (Algeria). Her academic research interests include Semantic Web (Services), Tourism Industry, Discovery-based Composition, Linked Data, Semantic Querying, Ontology Alignment.
DOI: https://doi.org/10.5815/ijitcs.2015.12.04, Pub. Date: 8 Nov. 2015
With the advent of new forms of information and communication technologies, the consumer needs to combine and customize different travel components as a complete travel package, namely: Dynamic Packaging Technology. Nevertheless, disparate tourist offers and services make it difficult for consumer to use them effectively. Therefore, our paper presents an intelligent querying framework of OWL-S travel services, called SQUIREL composition engine. It uses Semantic Web Services (SWSs) technologies combined with the useful of Linked e-tourism Data concept to fulfill the preferences and constraints of the e-tourist any time. This purpose supports SWSs pre-selection through the valuation of the rewritten SPARQL consumer query at runtime that manages dynamic service dependencies extracted from Linked e-tourism Data and returns the SWSs endpoint. Then, SQUIREL catches this endpoint and makes the necessary optimizations to refine it to its relevant atomic processes needed to be composed using matrix computation. However, the experimental results indicate that this method owns both lower computation cost and higher success ratio of fine-grained discovery-based atomic processes composition.
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