Title: Context dependent semantic granularity
Citation: Int. J. Data Mining, Modelling and Management vol. 3 no. 2 p. 189-215
Publisher: Inderscience Enterprises Ltd.
Publication Year: 2011
JRC N°: JRC61586
ISSN: 1759-1171 (online), 1759-1163 (print)
URI: http://www.inderscience.com/browse/index.php?journalID=342
Type: Articles in periodicals and books
Abstract: A fundamental issue to improve the accessibility to information resources is how to efficiently deal with huge amount(s) of data. In this respect, ontology driven techniques are expected to improve the overlap between the Cognitive Space applied by the user and the Information Space, which is defined by the information providers. In this paper we describe a powerful method to extract semantic granularities, which enable the navigation of a repository according to different levels of abstraction. In the formalisation we present, granularities are explicitly parameterised according to criteria induced by the context, which improves the method flexibility. Furthermore, the parameterisation assists the user allowing to formulate and refine the browsing criteria. Case studies are described to demonstrate how granularities ease the information sources browsing and to illustrate how they may vary according to the context. A validation of the cognitive principles behind the method is presented, together with the analysis of the results obtained by the experimentation.
JRC Directorate:Space, Security and Migration

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