The DebugIT core ontology: Semantic integration of antibiotics resistance patterns

Daniel Schober, Martin Boeker, Jessica Bullenkamp, Csaba Huszka, Kristof Depraetere, Douglas Teodoro, Nadia Nadah, Remy Choquet, Christel Daniel, Stefan Schulz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

24 Scopus citations

Abstract

Antibiotics resistance development poses a significant problem in today's hospital care. Massive amounts of clinical data are being collected and stored in proprietary and unconnected systems in heterogeneous format. The DebugIT EU project promises to make this data geographically and semantically interoperable for case-based knowledge analysis approaches aiming at the discovery of patterns that help to align antibiotics treatment schemes. The semantic glue for this endeavor is DCO, an application ontology that enables data miners to query distributed clinical information systems in a semantically rich and content driven manner. DCO will hence serve as the core component of the interoperability platform for the DebugIT project. Here we present DCO and an approach thet uses the semantic web query language SPARQL to bind and ontologically query hospital database content using DCO and information model mediators. We provide a query example that indicates that ontological querying over heterogeneous information models is feasible via SPARQL construct- and resource mapping queries.

Original languageEnglish
Title of host publicationMedinfo 2010 - Proceedings of the 13th World Congress on Medical Informatics
PublisherIOS Press
Pages1060-1064
Number of pages5
EditionPART 1
ISBN (Print)9781607505877
DOIs
StatePublished - 2010
Externally publishedYes
Event13th World Congress on Medical and Health Informatics, Medinfo 2010 - Cape Town, South Africa
Duration: 12 Sep 201015 Sep 2010

Publication series

NameStudies in Health Technology and Informatics
NumberPART 1
Volume160
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference13th World Congress on Medical and Health Informatics, Medinfo 2010
Country/TerritorySouth Africa
CityCape Town
Period12/09/1015/09/10

Keywords

  • Antibiotics
  • Information storage and retrieval
  • Knowledge sharing
  • Ontology
  • Semantic heterogeneity
  • Systems integrations

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