title: Data Definition Ontology for clinical data integration and querying.
abstract: This paper describes an approach to build a Data Definition Ontology (DDO) in the context of full domain ontology integration with datasets in order to share and query clinical heterogeneous data repositories. We have adapted an existing semantic web tool (D2RQ) to implement a process that automatically generates the DDO from a database information model, thanks to reverse engineering and schema mapping approaches. This study has been performed in the context of the DebugIT European project (Detecting and Eliminating Bacteria UsinG Information Technology) that aims to control and monitor the bacterial growth via a semantic interoperability platform (IP). The evaluation of the process is based, first, on the accuracy of the produced DDO for different samples of database storage and second, by checking the congruency between the DDO and the D2RQ database mapping file.
authors.affiliation: Université Pierre et Marie Curie, Paris, France. ariane.asselekama@gmail.com
authors.forename: Ariane
authors.initials: A
authors.lastname: Assélé Kama
authors.forename: Audi
authors.initials: A
authors.lastname: Primadhanty
authors.forename: Rémy
authors.initials: R
authors.lastname: Choquet
authors.forename: Douglas
authors.initials: D
authors.lastname: Teodoro
authors.forename: Frank
authors.initials: F
authors.lastname: Enders
authors.forename: Catherine
authors.initials: C
authors.lastname: Duclos
authors.forename: Marie-Christine
authors.initials: MC
authors.lastname: Jaulent
mesh_terms: D057225:Data Mining / Q000379:methods*; D003628:Database Management Systems; D016208:Databases, Factual; D004282:Documentation / Q000379:methods; D057286:Electronic Health Records / Q000145:classification*; D008499:Medical Records / Q000145:classification*; D009323:Natural Language Processing; D018511:Systems Integration; D009626:Terminology as Topic