International Journal Papers

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    A fault tolerant services discovery by self organisation: a MAS approach.
    (Inderscience, 2013) Mellah, Hakima; Hassas, Salima; Drias, Habiba
    The service discovery has become an emerging phenomena in software engineering and process engineering as well. The paper presents a multi agent system (MAS) approach, for service discovery process, based on a self-organising protocol. This feature is very crucial for assuring a correct service delivery, to avoid failures or mal-function for the service discovery environment. The requirement for self-organising choreographed services have been well realised, in case of operational, functional and behavioural faults. The self-organising protocol is conceived from bacteria colony.
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    Improving multimedia as a service (MaaS) approach for dynamic multimedia content integration
    (Inderscience, 2013-12) Lebib, Fatma-Zohra; Mellah, Hakima; Monfort, Valérie
    Multimedia content is derived from various autonomous, distributed and heterogeneous content sources. Service Oriented Architecture (SOA) is seen as a general answer to data integration problems. In this research work, we extend previous research works based on a model called Multimedia as a Service (MaaS); through which multimedia content providers expose their content. We propose now a method to automatically discover and invoke relevant MaaSs services, which enables dynamic and transparent multimedia content integration according to user’s preferences and device capabilities. For that, we propose to enhance the semantics in the MaaSs services description using domain ontology and use the standard Composite Capabilities/Preferences Profile (CC/PP) of W3C to manage the user profile.
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    Semantic indexing of multimedia content using textual and visual information
    (Inderscience, 2014) Amrane, Abdesalam; Mellah, Hakima; Amghar, Youssef; Aliradi, Rachid
    The challenge in multimedia information retrieval remains in the indexing process, an active search area. There are three fundamental techniques for indexing multimedia content: those using textual information, and those using low-level information and those that combine different information extracted from multimedia. Each approach has its advantages and disadvantages as well to improve multimedia retrieval systems. The recent works are oriented towards multimodal approaches. In this paper we propose an approach that combines the surrounding text with the information extracted from the visual content of multimedia and represented in the same repository in order to allow querying multimedia content based on keywords or concepts. Each word contained in queries or in description of multimedia is disambiguated using the WordNet ontology in order to define its semantic concept. Support Vector Machines (SVMs) are used for image classification in one of the defined semantic concept based on SIFT (Scale Invariant Feature Transform) descriptors.
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    Social linkage and ranking model for tags-based resources
    (INDERSCIENCE, 2013) Benna, Amel; Mellah, Hakima
    With the proliferation of social media, it is becoming important to support a significant amount of user tags in selecting the most appropriate resource description during the search process. In this paper, we propose to identify and structure the links between resources by taking into account a resource social dimension. Each resource is assigned to a cluster of tags hierarchy. The clusters of tags are formed by a classification method while the hierarchical classification of tags within clusters is defined using a hierarchy classification algorithm. User’s query is expanded by a social dimension and the clusters of tags are used to facilitate the search and ranking process. The results of our experiment, crawled from Delicious Folksonomy, demonstrate significant improvement over traditional retrieval approaches.