Building Contextualized Topic Maps

Abstract : The topic map model is a popular semantic web standard designed to organize contents from various resources and to enhance navigation in these resources. Building manually a topic map from a large content is impossible: a method supported by a tool is required. However, existing methods don?t allow a construction of a contextualized topic map. This paper tackles this problem often encountered when organizing semantically heterogeneous contents. It proposes a model driven approach that builds a topic map to organize a semantically heterogeneous content. This approach uses UML profiles to describe the annotated content as well as the resulting Topic Map. It also uses the reification concept defined in the ODM (Ontology Definition Model) to reflect the semantic heterogeneity of resources to organize.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01126211
Contributor : Laboratoire Cedric <>
Submitted on : Friday, March 6, 2015 - 11:45:56 AM
Last modification on : Wednesday, February 12, 2020 - 2:50:15 PM

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  • HAL Id : hal-01126211, version 1

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Lydia Nadia Khelifa, Nadira Lammari, Jacky Akoka, Thouraya Bouabana-Tebibel. Building Contextualized Topic Maps. 19th IBIMA (International Business Information Management Association) Conference on Innovation Vision 2020. Barcelona, Spain 12-13 Nov. 2012, Nov 2012, BArcelone, Spain. ⟨hal-01126211⟩

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