Goal of this paper is to propose a reference modeling framework to explicitly identify and formalize the different levels of variability that can arise along all the involved dimensions of a matching execution. The proposed framework is based on the notion of knowledge chunk, context, and mapping to abstract the variability levels and related operations along the source-dataset, the matching-dataset, and the mapping-set dimensions, respectively. An application of the proposed framework with instantiation in the HMatch 2.0 systems is illustrated.

Dealing with matching variability of semantic web data using contexts / S. Castano, A. Ferrara, S. Montanelli - In: Advanced information systems engineering : 22. international conference, CAiSE 2010, Hammamet, Tunisia, June 7-9, 2010 : proceedings / [a cura di] B. Pernici. - Berlin : Springer, 2010. - ISBN 9783642130939. - pp. 194-208 (( Intervento presentato al 22. convegno International conference on Advanced information systems engineering (CAiSE 2010) tenutosi a Hammamet nel 2010.

Dealing with matching variability of semantic web data using contexts

S. Castano
Primo
;
A. Ferrara
Secondo
;
S. Montanelli
Ultimo
2010

Abstract

Goal of this paper is to propose a reference modeling framework to explicitly identify and formalize the different levels of variability that can arise along all the involved dimensions of a matching execution. The proposed framework is based on the notion of knowledge chunk, context, and mapping to abstract the variability levels and related operations along the source-dataset, the matching-dataset, and the mapping-set dimensions, respectively. An application of the proposed framework with instantiation in the HMatch 2.0 systems is illustrated.
variability modeling; matching; semantic web; knowledge management
Settore INF/01 - Informatica
Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/142708
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