Abstract
Our study involves associating a context with semantic indexes and descriptors based on topic maps for efficient ontology-driven data managelent (e.g. blogs, cooperative platforms, digital libraries, document versioning tools, etc.). We believe that supporting contextual semantics can add a set of properties that vary according to the use of ontological topic maps (TM). Their use is beneficial for users who intend to exchange semantic knowledge in an application domain. Existing semantic layers in current systems are not yet capable of supporting relevant contextual semantic description. In this paper, we aim at extending the many-sorted algebra formalizing the topic maps layer in order to support 5W1H contexts (What, Why, Where, Who, When and How) using TMBLOG system as case study.
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Andres, F., Kannan, R. (2012). Ontology Driven Data Management with Topic Maps. In: Kannan, R., Andres, F. (eds) Data Engineering and Management. ICDEM 2010. Lecture Notes in Computer Science, vol 6411. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27872-3_3
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DOI: https://doi.org/10.1007/978-3-642-27872-3_3
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