Context Enabled Semantic Granularity

Authors:
Riccardo Albertoni;Elena Camossi;Monica Martino;Franca Giannini;Marina Monti
Affiliations:
IMATI, Consiglio Nazionale delle Ricerche, Genova, Italy 16149;School of Computer Science and Informatics, University College Dublin, Belfield, Dublin 4, Ireland;IMATI, Consiglio Nazionale delle Ricerche, Genova, Italy 16149;IMATI, Consiglio Nazionale delle Ricerche, Genova, Italy 16149;IMATI, Consiglio Nazionale delle Ricerche, Genova, Italy 16149
Venue:
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II
Year:
2008

Citing 2
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Asymmetric and context-dependent semantic similarity among ontology instances

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Semantic granularity for the semantic web

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Abstract

In this paper we propose a powerful ontology driven method that eases the browsing of any repository of information resources described by an ontology: we provide a flexible semantic granularity method for the navigation of a repository according to different levels of abstraction, i.e. granularities. The granularity is explicitly parameterised according to the criteria induced by the context.