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Finding Concept Coverings in Aligning Ontologies of Linked Data Read chapter Read first chapter

2015 | OriginalPaper | Chapter

Hubble: Linked Data Hub for Clinical Decision Support

Authors : Rinke Hoekstra, Sara Magliacane, Laurens Rietveld, Gerben de Vries, Adianto Wibisono, Stefan Schlobach

Published in: The Semantic Web: ESWC 2012 Satellite Events

Publisher: Springer Berlin Heidelberg

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Abstract

The AERS datasets is one of the few remaining, large publicly available medical data sets that until now have not been published as Linked Data. It is uniquely positioned amidst other medical datasets. This paper describes the Hubble prototype system for clinical decision support that demonstrates the speed, ease and flexibility of producing and using a Linked Data version of the AERS dataset for clinical practice and research.

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previous chapter OntoPartS: A Tool to Select Part-Whole Relations in OWL Ontologies
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Footnotes
3
CTCAE, subset of MedDRA, lists AEs for cancer therapy: http://​bit.​ly/​zOVPUt.
 
7
For instance, some rows contain line breaks in the wrong places, do not properly escape the separator character or span fewer columns than expected.
 
9
Unfortunately, exposing through D2R Server turned out to be too slow.
 
10
PROV-O-Matic, see http://​github.​com/​Data2Semantics/​, currently in alpha stages of development. PROV-O: See http://​www.​w3.​org/​TR/​prov-o/​.
 
11
Using less exact matching on drug names can have unwanted consequences.
 
17
Built directly from the endpoint using Sgvizler, http://​sgvizler.​googlecode.​com/​.
 
Literature
1.
Ciccarese, P., et al.: An open annotation ontology for science on web 3.0. J. Biomed. Semant. (2011)
2.
Greenes, R.A.: Clinical Decision Support: The Road Ahead. AP/Elsevier Science and Technology, Burlington (2007)
3.
Kadoyama, K., et al.: Adverse event profiles of 5-Fluorouracil and Capecitabine: data mining of the public version of the FDA adverse event reporting system, AERS, and reproducibility of clinical observations. Ing. J. Med. Sci. 9, 33–39 (2012)CrossRef
4.
Volz, J., Bizer, C., Gaedke, M., Kobilarov, G.: Silk - a link discovery framework for the web of data. In: 2nd Workshop about Linked Data on the Web (LDOW 2009) (2009)
Metadata
Title
Hubble: Linked Data Hub for Clinical Decision Support
Authors
Rinke Hoekstra
Sara Magliacane
Laurens Rietveld
Gerben de Vries
Adianto Wibisono
Stefan Schlobach
Copyright Year
2015
Publisher
Springer Berlin Heidelberg
Book
The Semantic Web: ESWC 2012 Satellite Events

Print ISBN: 978-3-662-46640-7

Electronic ISBN: 978-3-662-46641-4

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-662-46641-4_45