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

doi:10.3233/978-1-60750-588-4-1060

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 proceeding › Conference contribution › peer-review

25 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 language	English
Title of host publication	Medinfo 2010 - Proceedings of the 13th World Congress on Medical Informatics
Publisher	IOS Press
Pages	1060-1064
Number of pages	5
Edition	PART 1
ISBN (Print)	9781607505877
DOIs	https://doi.org/10.3233/978-1-60750-588-4-1060
State	Published - 2010
Externally published	Yes
Event	13th World Congress on Medical and Health Informatics, Medinfo 2010 - Cape Town, South Africa Duration: 12 Sep 2010 → 15 Sep 2010

Publication series

Name	Studies in Health Technology and Informatics
Number	PART 1
Volume	160
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Conference

Conference	13th World Congress on Medical and Health Informatics, Medinfo 2010
Country/Territory	South Africa
City	Cape Town
Period	12/09/10 → 15/09/10

Keywords

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

Access to Document

10.3233/978-1-60750-588-4-1060

Cite this

Schober, D., Boeker, M., Bullenkamp, J., Huszka, C., Depraetere, K., Teodoro, D., Nadah, N., Choquet, R., Daniel, C., & Schulz, S. (2010). The DebugIT core ontology: Semantic integration of antibiotics resistance patterns. In Medinfo 2010 - Proceedings of the 13th World Congress on Medical Informatics (PART 1 ed., pp. 1060-1064). (Studies in Health Technology and Informatics; Vol. 160, No. PART 1). IOS Press. https://doi.org/10.3233/978-1-60750-588-4-1060

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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.",

keywords = "Antibiotics, Information storage and retrieval, Knowledge sharing, Ontology, Semantic heterogeneity, Systems integrations",

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

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Schober, D, Boeker, M, Bullenkamp, J, Huszka, C, Depraetere, K, Teodoro, D, Nadah, N, Choquet, R, Daniel, C & Schulz, S 2010, The DebugIT core ontology: Semantic integration of antibiotics resistance patterns. in Medinfo 2010 - Proceedings of the 13th World Congress on Medical Informatics. PART 1 edn, Studies in Health Technology and Informatics, no. PART 1, vol. 160, IOS Press, pp. 1060-1064, 13th World Congress on Medical and Health Informatics, Medinfo 2010, Cape Town, South Africa, 12/09/10. https://doi.org/10.3233/978-1-60750-588-4-1060

The DebugIT core ontology: Semantic integration of antibiotics resistance patterns. / Schober, Daniel; Boeker, Martin; Bullenkamp, Jessica et al.
Medinfo 2010 - Proceedings of the 13th World Congress on Medical Informatics. PART 1. ed. IOS Press, 2010. p. 1060-1064 (Studies in Health Technology and Informatics; Vol. 160, No. PART 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Bullenkamp, Jessica

AU - Huszka, Csaba

AU - Depraetere, Kristof

AU - Teodoro, Douglas

AU - Nadah, Nadia

AU - Choquet, Remy

AU - Daniel, Christel

AU - Schulz, Stefan

PY - 2010

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AB - 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.

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ER -

Schober D, Boeker M, Bullenkamp J, Huszka C, Depraetere K, Teodoro D et al. The DebugIT core ontology: Semantic integration of antibiotics resistance patterns. In Medinfo 2010 - Proceedings of the 13th World Congress on Medical Informatics. PART 1 ed. IOS Press. 2010. p. 1060-1064. (Studies in Health Technology and Informatics; PART 1). doi: 10.3233/978-1-60750-588-4-1060

The DebugIT core ontology: Semantic integration of antibiotics resistance patterns

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Keywords

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