Authors:
Imen Ketata
;
Riad Mokadem
;
Franck Morvan
and
Abdelkader Hameurlain
Affiliation:
Institut de Recherche en Informatique de Toulouse IRIT, Paul Sabatier University, France
Keyword(s):
Biomedical Data Sources, Data Integration, Ontology, Mapping.
Related
Ontology
Subjects/Areas/Topics:
Coupling and Integrating Heterogeneous Data Sources
;
Databases and Information Systems Integration
;
Enterprise Information Systems
;
Object-Oriented Database Systems
;
Organisational Issues on Systems Integration
;
Web Databases
Abstract:
In dynamic environments like data management in biomedical domain, adding a new element (e.g. concept) to an ontology O1 requires significant mapping creations between O1 and the ontologies linked to it. To avoid this mapping creation for each element addition, old mappings can be reused. Hence, the nearest element w to the added one should be retrieved in order to reuse its mapping schema. In this paper, we deal with the existing additive axiom which can be used to retrieve this w. However, in such axiom, the usage of some parameters like the number of element occurrence appears insufficient. We introduce the calculation of similarity and the user’s opinion note in order to have more precision and semantics in the w retrieval. An illustrative example is presented to estimate our contribution.