Bringing together structured and unstructured sources: the OUMSUIS approach

Authors:
Gayo Diallo;Michel Simonet;Ana Simonet
Affiliations:
Laboratoire TIMC-IMAG, UJF Grenoble, Fac De Médecine, La Tronche, France;Laboratoire TIMC-IMAG, UJF Grenoble, Fac De Médecine, La Tronche, France;Laboratoire TIMC-IMAG, UJF Grenoble, Fac De Médecine, La Tronche, France
Venue:
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part I
Year:
2006

Citing 9
Cited 0

Classifying Schematic and Data Heterogeneity in Multidatabase Systems

Computer
A translation approach to portable ontology specifications

Knowledge Acquisition - Special issue: Current issues in knowledge modeling
OBSERVER: An Approach for Query Processing in Global Information Systems Based on Interoperation Across Pre-Existing Ontologies

Distributed and Parallel Databases
Information Retrieval

Information Retrieval
A survey of approaches to automatic schema matching

The VLDB Journal — The International Journal on Very Large Data Bases
Query Processing in the TAMBIS Bioinformatics Source Integration System

SSDBM '99 Proceedings of the 11th International Conference on Scientific and Statistical Database Management
Description logics for databases

The description logic handbook
Semantic-integration research in the database community

AI Magazine - Special issue on semantic integration
An approach to automatic ontology-based annotation of biomedical texts

IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Integration of heterogeneous sources is a means to offer the user an access to multiple information sources in a unified way through queries submitted to a global schema We propose a semantic web-based mediator model, to provide unified access to various sources which may be both structured (database systems) and unstructured (textual medical reports, scientific publications, etc.) The mediator level is composed of the global ontology and a set of ontologies which make it possible to characterize sources (one or several ontologies by source) Unstructured sources are seen through their Semantic Document Representation obtained by a semantic characterization process A reverse engineering process is then applied on each Semantic Document Representation schema and each structured source schema in order to provide semi-automatically a set of local ontologies These local ontologies are articulated around the global schema following the global centric approach A service called Terminology Server (ServO) is used to perform queries and manage the ontologies The ontology-based query model combines databases and information retrieval techniques We illustrate this approach with a case study in the brain disease field but it is sufficiently generic to be used in other domains.