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Role of semantic web in health informatics

Published: 28 January 2012 Publication History

Abstract

Leveraging the rapidly increasing amount of health care data to demonstrably enhance quality of clinical research and patient care has become a critical challenge for health care providers, researchers, and informaticians. In addition to the sheer volume of the data, the large disparity in storage formats, distributed locations, and variable quality of data, is exacerbating data management issues. There is an urgent need to address these issues to enable multi-center clinical studies, comply with new health care policies that encourage adoption of Electronic Health Records (EHR), and effectively move towards the National Institutes of Health (NIH) roadmap of translational research.
The Semantic Web initiative by the World Wide Web Consortium (W3C) has defined a set of standards and technologies for representing, integration, and querying large-scale data with increasing use in health care, exemplified by the W3C Health Care and Life Sciences (HCLS) Interest Group. Ontologies are a core feature of the Semantic Web and are being increasingly adopted by the biomedical community, which is demonstrated by the more than 260 ontologies listed at the National Center for Biomedical Ontologies (NCBO). This tutorial will weave together three themes and the associated topics:
Semantic Web and Biomedical Ontologies
Key Technologies - Semantic Provenance and Data Integration
Real World Use Cases and In-Use Tools

References

[1]
S. S. Sahoo, Ogbuji, C., Luo, L., Dong, X., Cui, L., Redline, S.S., Zhang, G.Q., "MiDas: Automatic Extraction of a Common Domain of Discourse in Sleep Medicine for Multi-center Data Integration," in AMIA Annual Symposium, Washington DC, 2011.
[2]
A. P. Sheth, Agrawal, S., Lathem, J., Oldham, N., Wingate, H., Yadav, P., Gallagher, K., "Active Semantic Electronic Medical Record," in 5th International Semantic Web Conference, Athens, GA, USA, 2006.
[3]
S. S. Sahoo, Weatherly, D. B., Muttharaju, R., Anantharam, P., Sheth, A., Tarleton, R. L., "Ontology-driven Provenance Management in eScience: An Application in Parasite Research," in The 8th International Conference on Ontologies, DataBases, and Applications of Semantics (ODBASE 09), Vilamoura, Algarve-Portugal, 2009, pp. 992--1009.
[4]
G. Q. Zhang, Siegler, T., Saxman, P., Sandberg, N., Mueller, R., Johnson, N., Hunscher, D., Arabandi, S., "VISAGE: A Query Interface for Clinical Research.," presented at the AMIA Clinical Research Informatics Summit, San Francisco, 2010.

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    cover image ACM Conferences
    IHI '12: Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
    January 2012
    914 pages
    ISBN:9781450307819
    DOI:10.1145/2110363

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 28 January 2012

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    Author Tags

    1. biomedical ontologies
    2. data integration
    3. health informatics
    4. querying
    5. semantic provenance
    6. semantic web

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    IHI '12: ACM International Health Informatics Symposium
    January 28 - 30, 2012
    Florida, Miami, USA

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