Search Results - "Idoudi, Rihab"

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  1. 1

    Ontology Knowledge Mining for Ontology Alignment by Idoudi, Rihab, Ettabaa, Karim Saheb, Solaiman, Basel, Hamrouni, Kamel

    “…As the ontology alignment facilitates the knowledge exchange among the heterogeneous data sources, several methods have been introduced in literature…”
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    Journal Article
  2. 2

    High Level Mammographic Information Fusion For Real World Ontology Population by Ben Salem, Yosra, Idoudi, Rihab, Saheb Ettabaa, Karim, Hamrouni, Kamel, Solaiman, Basel

    Published in Journal of digital information management (01-10-2017)
    “…In this paper, we propose a novel approach for ontology instantiating from real data related to the mammographic domain. In our study, we are interested in…”
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    Journal Article
  3. 3

    Mammographie image based possibilistic ontological representation by Ben Salem, Yosra, Idoudi, Rihab, Ettabaa, Karim Saheb, Hamrouni, Kamel, Soleiman, Basel

    “…This paper represents a novel approach for ontology modeling using the possibility theory. In one hand, ontology has become the enabler of knowledge exchange…”
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    Conference Proceeding
  4. 4

    Ontological approach to mammographic knowledge representation by Idoudi, Rihab, Hamrouni, Kamel, Solaiman, Basel

    “…Facing the huge and complex amount of data in the mammography domain, and due to the necessity of having a reliable, exhaustive and complete knowledge base; we…”
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    Conference Proceeding
  5. 5

    An evidence based approach for multipe similarity measures combining for ontology mapping by Idoudi, Rihab, Ettabaa, Karim Saheb, Hamrouni, Kamel, Solaiman, Basel

    “…Ontologies nowadays are known to be potential tool for enabling interoperability across heterogeneous systems and semantic web applications. For this, Ontology…”
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    Conference Proceeding
  6. 6

    Image based mammographie ontology learning by Ben Salem, Yosra, Idoudi, Rihab, Hamrouni, Kamel, Soleiman, Basel, Bousetta, Sana

    “…Understanding the content of an image is one of the challenges in the image processing field. Recently, the Content Based Image Retrieval (CBIR) and especially…”
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    Conference Proceeding