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Biomedical Ontology Matching as a Service

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Smart Homes and Health Telematics (ICOST 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8456))

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Abstract

Ontology matching is among the core techniques used for integration and interoperability resolution between biomedical systems. However, due to the excess usage and ever-evolving nature of biomedical data, ontologies are becoming large-scale, and complex; consequently, requiring scalable computational environments with performance and availability in mind. In this paper, we present a cloud-based ontology matching system for biomedical ontologies that provides ontology matching as a service. Our proposed system implements parallelism at various levels to improve the overall ontology matching performance especially for large-scale biomedical ontologies and incorporates third-party resources UMLS and Wordnet for comprehensive matched results. Matched results are delivered to the service consumer as bridge ontology and preserved in ubiquitous ontology repository for future request. We evaluate our system by consuming the matching service in an interoperability engine of a clinical decision support system (CDSS), which generates mapping requests for FMA and NCI biomedical ontologies.

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Acknowledgment

This research was supported by Microsoft Research Asia, Beijing, China, under the research grant provided as MSRA Project Award 2013–2014 and MSIP(Ministry of Science, ICT&Future Planning), Korea, under IT/SW Creative research program supervised by the NIPA(National IT Industry Promotion Agency) (NIPA-2013-(H0503-13-1010).

This research was also supported by Microsoft Azure4Research Award 2013–2014.

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Authors and Affiliations

  1. Department of Computer Engineering, Kyung Hee University, Seoul, South Korea

    Muhammad Bilal Amin, Mahmood Ahmad, Wajahat Ali Khan & Sungyoung Lee

Authors
  1. Muhammad Bilal Amin
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  2. Mahmood Ahmad
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  3. Wajahat Ali Khan
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  4. Sungyoung Lee
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Corresponding author

Correspondence to Muhammad Bilal Amin .

Editor information

Editors and Affiliations

  1. University of Colorado, Denver, Colorado, USA

    Cathy Bodine

  2. University of Florida, Gainesville, Florida, USA

    Sumi Helal

  3. RMIT University, Melbourne, Victoria, Australia

    Tao Gu

  4. Institut Mines Telecom/CNRS IPAL (UMI 2955), Singapore, Singapore

    Mounir Mokhtari

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Amin, M.B., Ahmad, M., Khan, W.A., Lee, S. (2015). Biomedical Ontology Matching as a Service. In: Bodine, C., Helal, S., Gu, T., Mokhtari, M. (eds) Smart Homes and Health Telematics. ICOST 2014. Lecture Notes in Computer Science(), vol 8456. Springer, Cham. https://doi.org/10.1007/978-3-319-14424-5_21

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  • DOI: https://doi.org/10.1007/978-3-319-14424-5_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14423-8

  • Online ISBN: 978-3-319-14424-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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