Work place: LabRI-SBA Laboratory, Higher School of Computer Science, Sidi Bel-Abbes, Algeria
Research Interests: Computational Engineering, Systems Architecture, Information Systems, Information Storage Systems, Multimedia Information System, World Wide Web, Information Theory
Mimoun Malki is currently a full professor at the Higher School of Computer Science of Sidi Bel-Abbes. He is the head of the LabRI-SBA Laboratory. His research interests include Databases, Information Systems Interoperability, Ontology Engineering, Semantic Web Services, Linked Data Services, Web Reengineering, Enterprise Mashup and Cloud Computing. He has published papers in well-known journals (IEEE Transactions on Knowledge and Data Engineering, World Wide Web Springer, etc.)
DOI: https://doi.org/10.5815/ijitcs.2018.06.07, Pub. Date: 8 Jun. 2018
Mashups are an important way to allow normal users to build their own applications responding to the specific needs of each one. The basic components of mashups are Data and Web APIs especially Restful ones, but it is difficult for an unexperienced user to combine manually APIs with Data. Therefore, there is a need to predefine links between these resources to permit an easy combination. In this paper, we propose a new approach to make Restful Web APIs adhere to Linked Data principles, which facilitate their combination in mashup applications. The advantage of the proposed approach is the fact that it allows integrating linked data with the composition of Restful APIs, It also uses an algorithm to automatically create links between APIs.[...] Read more.
DOI: https://doi.org/10.5815/ijitcs.2016.06.02, Pub. Date: 8 Jun. 2016
The fast development and the huge number of existing web services have raised the problem of the urgent need for matchmaking mechanisms. However state-of-the-art matchmakers are unsuitable for locating web services that use different ontologies. This aspect is important since it is not realistic to assume that Web services will always be defined by the same ontology, as the Web service requester and provider operate independently, each defines their own ontologies to describe their services. This is an emergent research issue that has not been well addressed. This work is a contribution to achieve semantic interoperability in a multi-ontology environment. This paper describes a Web service multi-ontology matchmaker for SAWSDL services, called SAWSDL-MOM which locates web services that use different ontologies. The matchmaker engine incorporates a novel partial ontology alignment algorithm with syntax, linguistic and original structural matchers. In determining the 1:1 mappings the Hungarian algorithm is used. Finally a matchmaking strategy is utilized in finding the score of each service. Experimental evaluation and comparison provide strong evidence that SAWSDL-MOM can significantly improve results, achieve better interoperability and scalability.[...] Read more.
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