Title: Reconciliation model of heterogeneous information in decisional information systems

Authors: Messaouda Fareh; Omar Boussaid; Rachid Chalal

Addresses: LRDSI Laboratory, Blida University, Blida, Algeria ' ERIC Laboratory, Lyon 2 University, Campus Porte des Alpes, France ' LMCS Laboratory, ESI, Oued-Smar (Algier), Algeria

Abstract: In this paper, we propose a reconciliation and cohabitation model of heterogeneous information in Decisional Information Systems (DIS). Among this heterogeneous information are data that represent the analysis basis in DIS systems and metadata that represent a very important role to interpret the results and lead to a good analysis. In the current generation of DIS systems, we can find knowledge represented by ontologies, which is used to enjoy the semantic side offered by these systems. Our reconciliation model focuses on semantic mediation approach, based on the hybrid ontology architecture and semantic similarity measures to integrate each information type. Our modelling is based on a common model that represents a global view of heterogeneous information, allowing to find the mapping between different information types, to respond effectively to a posed query. To validate our work, we have applied our model on real business information, containing data, metadata and knowledge.

Keywords: data; metadata; knowledge; ontologies; taxonomy; similarity measures; semantics; modelling; mediation; reconciliation model; cohabitation model; heterogeneous information; information systems; semantic mediation.

DOI: 10.1504/IJMSO.2015.068264

International Journal of Metadata, Semantics and Ontologies, 2015 Vol.10 No.1, pp.37 - 54

Received: 22 Nov 2013
Accepted: 16 Sep 2014
Published online: 27 Mar 2015 *

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