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  1. CiTO, the Citation Typing Ontology, is an ontology for describing the nature of reference citations in scientific research articles and other scholarly works, both to other such publications and also to Web in...

    Authors: David Shotton
    Citation: Journal of Biomedical Semantics 2010 1(Suppl 1):S6
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 1 Supplement 1

  2. Understanding the distinction between function and role is vexing and difficult. While it appears to be useful, in practice this distinction is hard to apply, particularly within biology.

    Authors: Phillip Lord
    Citation: Journal of Biomedical Semantics 2010 1(Suppl 1):S4
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 1 Supplement 1

  3. The creation of accurate quantitative Systems Biology Markup Language (SBML) models is a time-intensive, manual process often complicated by the many data sources and formats required to annotate even a small ...

    Authors: Allyson L Lister, Phillip Lord, Matthew Pocock and Anil Wipat
    Citation: Journal of Biomedical Semantics 2010 1(Suppl 1):S3
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 1 Supplement 1

  4. Increasingly sophisticated knowledge about RNA structure and function requires an inclusive knowledge representation that facilitates the integration of independently –generated information arising from such e...

    Authors: Jose Cruz-Toledo, Michel Dumontier, Marc Parisien and François Major
    Citation: Journal of Biomedical Semantics 2010 1(Suppl 1):S2
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 1 Supplement 1

  5. Researchers in biomedical informatics use ontologies and terminologies to annotate their data in order to facilitate data integration and translational discoveries. As the use of ontologies for annotation of b...

    Authors: Clement Jonquet, Mark A Musen and Nigam H Shah
    Citation: Journal of Biomedical Semantics 2010 1(Suppl 1):S1
    Content type: Proceedings Published on:

    This article is part of a Supplement: Volume 1 Supplement 1

  6. In order to satisfy different needs, medical terminology systems must have richer structures. This study examines whether a Swedish primary health care version of the mono-hierarchical ICD-10 (KSH97-P) may obt...

    Authors: Mikael Nyström, Anna Vikström, Gunnar H Nilsson, Hans Åhlfeldt and Håkan Örman
    Citation: Journal of Biomedical Semantics 2010 1:7
    Content type: Research Published on:

  7. In order to perform research on the information contained in Electronic Patient Records (EPRs), access to the data itself is needed. This is often very difficult due to confidentiality regulations. The data se...

    Authors: Hercules Dalianis and Sumithra Velupillai
    Citation: Journal of Biomedical Semantics 2010 1:6
    Content type: Research Published on:

  8. Identification of terms is essential for biomedical text mining.. We concentrate here on the use of vocabularies for term identification, specifically the Unified Medical Language System (UMLS). To make the UM...

    Authors: Kristina M Hettne, Erik M van Mulligen, Martijn J Schuemie, Bob JA Schijvenaars and Jan A Kors
    Citation: Journal of Biomedical Semantics 2010 1:5
    Content type: Research Published on:

  10. Previous studies have suggested that epidemiological reasoning needs a fine-grained modelling of events, especially their spatial and temporal attributes. While the temporal analysis of events has been intensi...

    Authors: Hutchatai Chanlekha and Nigel Collier
    Citation: Journal of Biomedical Semantics 2010 1:3
    Content type: Research Published on:

  11. Accurate and timely detection of public health events of international concern is necessary to help support risk assessment and response and save lives. Novel event-based methods that use the World Wide Web as...

    Authors: Nigel Collier
    Citation: Journal of Biomedical Semantics 2010 1:2
    Content type: Research Published on:
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    2.6 - 5-year Impact Factor
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Journal of Biomedical Semantics

ISSN: 2041-1480