Research Reports

Permanent URI for this collectionhttp://dl.cerist.dz/handle/CERIST/34

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Subject: search.filters.subject.ontology

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    Ontological Interaction Modeling and Semantic Rule-Based Reasoning for User Interface Adaptation
    (CERIST, 2016) Lebib, Fatma-Zohra; Mellah, Hakima; Mohand Oussaïd, Linda
    Disabled users conducting their interactive tasks on their devices address challenges such as user interface adaptation. The paper provides a valuable knowledge for supporting adaptive user interfaces. In this work an interactive application development, in handicrafts’ domain is considered, with the aim to build ontology which models the available interaction modalities and resources to be used by craftswomen interacting with the system. The paper is more focused on the Semantic Web Rule Language (SWRL) rules allowing to derive the appropriate modalities for specific woman considering different factors related to its sensory perception and motor skills to one finality that is enriching interaction ontology.
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    Using tags Associated to Resources to Build Ontologies
    (CERIST, 2014-06-18) Keddari, Djalila; Mellah, Hakima; Benna, Amel
    Social tagging has recently emerged in the collaborative web as a support shared resources organization allowing users to categorize these resources, that can be web pages, video, or images, by associating them with keywords, called tags. However, the use of uncontrolled tags poses several problems, namely ambiguity, writing variations where many tags denote the same concept, as well as tags volume. The latter has led to tags classification into several clusters using the K Means algorithm. The purpose of this work is that from tags clusters and their hierarchical classification, it would be important to build an ontology as these tags have a semantic aspect and are expressed by users who used the tagged resources. Building ontologies, based on resources tags, is a way to make automatic their building without requiring experts as usual. Reproducing these tags clusters into ontological form is a way to share its knowledge with other users. We aim through this paper to build an ontology based on tags. A technical approach to form ontological portions, starting from tags clusters is based on semantic distance existing between tags. As tags clusters have a semantic relationship, the semantic distance between clusters is used to merge ontological portions into a global ontology.