Data Definition Ontology for clinical data integration and querying
Data Definition Ontology for clinical data integration and querying
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.
- Paris 13 University France
- University of Geneva Switzerland
- Sorbonne Paris Cité France
- Université Paris 13 France
MESH: Medical Records, MESH: Terminology as Topic, Databases, Factual, MESH: Documentation, Documentation, Documentation / methods, MESH: Databases, Medical Records, MESH: Natural Language Processing, Data Mining / methods, Terminology as Topic, 616, Data Mining, Electronic Health Records, Electronic Health Records / classification, Medical Records / classification, Factual, MESH: Electronic Health Records, Natural Language Processing, 616.0757, MESH: Data Mining, 004, Systems Integration, Database Management Systems, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, MESH: Systems Integration, MESH: Database Management Systems, ddc: ddc:616.0757
MESH: Medical Records, MESH: Terminology as Topic, Databases, Factual, MESH: Documentation, Documentation, Documentation / methods, MESH: Databases, Medical Records, MESH: Natural Language Processing, Data Mining / methods, Terminology as Topic, 616, Data Mining, Electronic Health Records, Electronic Health Records / classification, Medical Records / classification, Factual, MESH: Electronic Health Records, Natural Language Processing, 616.0757, MESH: Data Mining, 004, Systems Integration, Database Management Systems, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, MESH: Systems Integration, MESH: Database Management Systems, ddc: ddc:616.0757
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).4 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!