Dr. HACHEMI Yamina هاشمي يمينة
Faculté des Sciences Economiques, Commerciales et des Science de Gestion
Département des Sciences-commerciales
Grade : Maitre de conférence classe B
Numéro de Téléphone :0550879383
Adresse électronique institutionnel
Adresse électronique personnel
Adresse postale :
19, Rue djelloulu Djillali Tighennif Mascara
Lien Researchgate:

Ouvrages Publications Projets Communications


  • Web Services Composition Applying MDA.
  • La revue : 2nd Conférence Internationale sur l'Informatique et ses Applications (CIIA'09), Saida, Algeria
    Domaine : web service composition
    Mots Clés : Web Service Composition; MDA
    Auteur : Y.Hachemi, B.Malki, D.Amar Bensaber
    Issn : Eissn : vol : 02, Num : , pp :
  • Date de publication : 2009-05-04
  • Résume :
    Currently, Web services are available on Internet in a simple and easy way to use. However, a single service can not respond to a predetermined request by user. Thus, it is necessary to compose services, ie, organize them in a manner to achieve the goal automatically. The semantic web services increases the descriptions of web services using semantic annotations (eg ontology). There are different approaches to express the semantic aspect as OWL-S, WSMO, WSDL-S and a recent W3C recommendation SAWSDL (Semantic Annotations for WSDL and XML Schema). To address complexity, scalability and heterogeneity problems of Web Systems, the OMG has proposed the model driven approach MDA based on the concepts of models, metamodels and transformations. The method describes a process that guides the developer through various phases, starting with the models, and ending with a new compound that can be deployed and published.

  • Case-Based Planning with User Preferences for Web Service Composition
  • La revue : International Journal of Web Portals (IJWP)
    Domaine : Service-Oriented Computing. web service composition
    Mots Clés : Case-Based Planning, Ontologies, User Preferences, Web Service Composition
    Auteur : Y.Hachemi, SM.Benslimane
    Issn : 1938-0194 Eissn : 1938-0208 vol : 06, Num : 04, pp : 58-71
  • Date de publication : 2014-10-01
  • Résume :
    Web services composition has emerged as a solution to answer the requester's requirements. However, the selection of an appropriate Web service has become a difficult task due to the number of Web services present on the Web and mostly they offer similar functionalities. User preferences are a key factor that can be used to rank candidate services and retain only the best ones. To improve the process of web service composition the authors propose a Case-Based Planning (CBP) approach based on preferences which uses successful experiences in past to solve similar problems at present or/and in the future. How to make a choice base on non-functional factors becomes a problem that need to be solved. This paper, argues that the selection should be considered in a global manner based on the user's preferences. The authors present a framework that deals with web service composition based on user preferences and CBP method. Results obtained offer more than a solution to the user and taking both functional and non-functional requirements.

  • Preference-Based Web Service Composition: Case-Based Planning Approach
  • La revue : I.J. Information Technology and Computer Science
    Domaine : Intelligence Artificielle
    Mots Clés : Web Service Composition; Case Based Planning; User Preferences.
    Auteur : Y.Hachemi, SM.Benslimane
    Issn : 2074-9007 Eissn : 2074-9015 vol : 07, Num : 06, pp : 74-82
  • Date de publication : 2015-06-10
  • Résume :
    Web service selection is an indispensable process for web service composition. However it became a difficult task as many web services are increased on the web and mostly they offer similar functionalities, which service will be the best. User preferences are the key to retain only the best services for the composition. In this paper, we have proposed a web service composition model based on user preferences. To improve the process of web service composition we propose a case-based planning approach with user preferences which uses successful experiences in past to solve similar problems. In this paper we integrate user preferences in the phase of selection, adaptation and planning. Our main contributions are a new method of case retrieval, an extended algorithm of adaptation and planning with user preferences. Results obtained offer more than a solution to the user and taking both functional and nonfunctional requirements.

  • © Site développé par webmaster | Contact: | Tous doits réservés