Contexts as explicit parameterization of ontology driven methods

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Title: Contexts as explicit parameterization of ontology driven methods
Authors: Albertoni, Riccardo
Camossi, Elena
De Martino, Monica
Giannini, Franca
Monti, Marina
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Date: 2007
Online since: 2009-11-09T12:48:08Z
Abstract: In the recent Computer Science literature, contexts have been proposed mainly to formalize context dependent background knowledge. In this paper we discuss the importance of the application of contexts as explicit parametrization of methods exploiting the knowledge encoded in ontologies. We propose a context formalization suitable to improve the flexibility of ontology driven methods like semantic similarity and granularity. Herein, we detail in particular the context parametrization for semantic granularity. The user scenario pertaining to the exploitation of a repository for industrial design product models is discussed to illustrate the proposed formalization.
Funding Details: Irish Research Council for Science, Engineering & Technology
Type of material: Technical Report
Publisher: Consiglio Nazionale delle Ricerche. Istituto di Matematica Applicata e Tecnologie Informatiche
Series/Report no.: IMATI Technical Reports; 14/07
Subject LCSH: Ontologies (Information retrieval)
Context-aware computing
Semantic computing
Language: en
Status of Item: Not peer reviewed
Appears in Collections:Computer Science Research Collection

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