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Investigating subsumption in DL-based terminologies: A case study in SNOMED CT

In Proceedings of the First International Workshop on Formal Biomedical Knowledge Representation (KR-MED 2004). pp. 12-20 (2004)

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  1. Ontologie-basierte Qualitätssicherung medizinischer Terminologien.Barry Smith - 2004 - Kooperative Versorgung, Vernetzte Forschung, Ubiquitäre Information, Proceedings of Gmds 2004:193-195.
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  • Applied Ontology: An Introduction.Katherine Munn & Barry Smith (eds.) - 2008 - Frankfurt: ontos.
    Ontology is the philosophical discipline which aims to understand how things in the world are divided into categories and how these categories are related together. This is exactly what information scientists aim for in creating structured, automated representations, called 'ontologies,' for managing information in fields such as science, government, industry, and healthcare. Currently, these systems are designed in a variety of different ways, so they cannot share data with one another. They are often idiosyncratically structured, accessible only to those who (...)
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  • Ontology as the Core Discipline of Biomedical Informatics: Legacies of the Past and Recommendations for the Future Direction of Research.Barry Smith & Werner Ceusters - 2007 - In Gordana Dodig Crnkovic & Susan Stuart (eds.), Computation, Information, Cognition: The Nexus and the Liminal. Cambridge Scholars Publishing. pp. 104-122.
    The automatic integration of rapidly expanding information resources in the life sciences is one of the most challenging goals facing biomedical research today. Controlled vocabularies, terminologies, and coding systems play an important role in realizing this goal, by making it possible to draw together information from heterogeneous sources – for example pertaining to genes and proteins, drugs and diseases – secure in the knowledge that the same terms will also represent the same entities on all occasions of use. In the (...)
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  • Medical WordNet: A New Methodology for the Construction and Validation of Information Resources for Consumer Health.Barry Smith & Christiane Fellbaum - 2004 - In Proceedings of Coling: The 20th International Conference on Computational Linguistics. Geneva: pp. 371-382.
    A consumer health information system must be able to comprehend both expert and non-expert medical vocabulary and to map between the two. We describe an ongoing project to create a new lexical database called Medical WordNet (MWN), consisting of medically relevant terms used by and intelligible to non-expert subjects and supplemented by a corpus of natural-language sentences that is designed to provide medically validated contexts for MWN terms. The corpus derives primarily from online health information sources targeted to consumers, and (...)
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  • Six Questions on the Construction of Ontologies in Biomedicine.Anand Kumar, A. Burgun, W. Ceusters, J. Cimino, J. Davis, P. Elkin, I. Kalet, A. Rector, J. Rice, J. Rogers, Barry Smith & Others - 2005 - Report of the AMIA Working Group on Formal Biomedical Knowledge Representation 1.
    (Report assembled for the Workshop of the AMIA Working Group on Formal Biomedical Knowledge Representation in connection with AMIA Symposium, Washington DC, 2005.) Best practices in ontology building for biomedicine have been frequently discussed in recent years. However there is a range of seemingly disparate views represented by experts in the field. These views not only reflect the different uses to which ontologies are put, but also the experiences and disciplinary background of these experts themselves. We asked six questions related (...)
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  • Towards New Information Resources for Public Health: From WordNet to MedicalWordNet.Christane Fellbaum, Udo Hahn & Barry Smith - 2006 - Journal of Biomedical Informatics 39 (3):321-332.
    In the last two decades, WORDNET has evolved as the most comprehensive computational lexicon of general English. In this article, we discuss its potential for supporting the creation of an entirely new kind of information resource for public health, viz. MEDICAL WORDNET. This resource is not to be conceived merely as a lexical extension of the original WORDNET to medical terminology; indeed, there is already a considerable degree of overlap between WORDNET and the vocabulary of medicine. Instead, we propose a (...)
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  • Bridging the Gap Between Medical and Bioinformatics: An Ontological Case Study in Colon Carcinoma.Anand Kumar, Yum Lina Yip, Barry Smith & Pierre Grenon - 2006 - Computers in Biology and Medicine 36 (7):694--711.
    Ontological principles are needed in order to bridge the gap between medical and biological information in a robust and computable fashion. This is essential in order to draw inferences across the levels of granularity which span medicine and biology, an example of which include the understanding of the roles of tumor markers in the development and progress of carcinoma. Such information integration is also important for the integration of genomics information with the information contained in the electronic patient records in (...)
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  • Introduction: What is Ontology For.Katherine Munn - 2008 - In Munn Katherine & Smith Barry (eds.), Applied Ontology: An Introduction. Walter de Gruyter. pp. 7-19.
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