Search Results - "Idoudi, Rihab"
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Ontology Knowledge Mining for Ontology Alignment
Published in International journal of computational intelligence systems (01-09-2016)“…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 -
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High Level Mammographic Information Fusion For Real World Ontology Population
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 -
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Mammographie image based possibilistic ontological representation
Published in 2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) (01-03-2018)“…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 -
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Ontological approach to mammographic knowledge representation
Published in 2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) (01-03-2014)“…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 -
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An evidence based approach for multipe similarity measures combining for ontology mapping
Published in International Image Processing, Applications and Systems Conference (01-11-2014)“…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
Image based mammographie ontology learning
Published in 2016 11th International Conference on Intelligent Systems: Theories and Applications (SITA) (01-10-2016)“…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