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Ontology and medical terminology: Why description logics are not enough

In Proceedings of the Conference: Towards an Electronic Patient Record (TEPR 2003). Boston, MA: Medical Records Institute (2003)

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  1. Investigating subsumption in DL-based terminologies: A case study in SNOMED CT.Olivier Bodenreider, Barry Smith, Anand Kumar & Anita Burgun - 2004 - In Olivier Bodenreider, Barry Smith, Anand Kumar & Anita Burgun (eds.), Proceedings of the First International Workshop on Formal Biomedical Knowledge Representation (KR-MED 2004). pp. 12-20.
    Formalisms such as description logics (DL) are sometimes expected to help terminologies ensure compliance with sound ontological principles. The objective of this paper is to study the degree to which one DL-based biomedical terminology (SNOMED CT) complies with such principles. We defined seven ontological principles (for example: each class must have at least one parent, each class must differ from its parent) and examined the properties of SNOMED CT classes with respect to these principles. Our major results are: 31% of (...)
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  • LinkSuite™: Software Tools for Formally Robust Ontology-Based Data and Information Integration.Werner Ceusters, Barry Smith & James Matthew Fielding - 2004 - In Werner Ceusters, Barry Smith & James Matthew Fielding (eds.), Proceedings of DILS 2004 (Data Integration in the Life Sciences), (Lecture Notes in Bioinformatics, 2994). Springer. pp. 1-16.
    The integration of information resources in the life sciences is one of the most challenging problems facing bioinformatics today. We describe how Language and Computing nv, originally a developer of ontology-based natural language understanding systems for the healthcare domain, is developing a framework for the integration of structured data with unstructured information contained in natural language texts. L&C’s LinkSuite™ combines the flexibility of a modular software architecture with an ontology based on rigorous philosophical and logical principles that is designed to (...)
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  • Biomedical Ontologies.Barry Smith - 2022 - In Peter L. Elkin (ed.), Terminology, Ontology and Their Implementations: Teaching Guide and Notes. Springer. pp. 125-169.
    We begin at the beginning, with an outline of Aristotle’s views on ontology and with a discussion of the influence of these views on Linnaeus. We move from there to consider the data standardization initiatives launched in the 19th century, and then turn to investigate how the idea of computational ontologies developed in the AI and knowledge representation communities in the closing decades of the 20th century. We show how aspects of this idea, particularly those relating to the use of (...)
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  • Ontological realism: A methodology for coordinated evolution of scientific ontologies.Barry Smith & Werner Ceusters - 2010 - Applied ontology 5 (3):139-188.
    Since 2002 we have been testing and refining a methodology for ontology development that is now being used by multiple groups of researchers in different life science domains. Gary Merrill, in a recent paper in this journal, describes some of the reasons why this methodology has been found attractive by researchers in the biological and biomedical sciences. At the same time he assails the methodology on philosophical grounds, focusing specifically on our recommendation that ontologies developed for scientific purposes should be (...)
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  • Open Biomedical Ontologies applied to prostate cancer.James A. Overton, Cesare Romagnoli & Rethy Chhem - 2011 - Applied ontology 6 (1):35-51.
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  • Ontological Realism: Methodology or Misdirection?Gary H. Merrill - 2010 - Applied ontology 5 (2):79-108.
    In a series of papers over a period of several years Barry Smith andWerner Ceusters have offered a number of cogent criticisms of historical approaches to creating, maintaining, and applying biomedical terminologies and ontologies. And they have urged the adoption of what they refer to as a “realism-based” approach. Indeed, at times they insist that the realism-based approach not only offers clear advantages and a well-founded methodological basis for ontology development and evaluation, but that such a realist perspective is in (...)
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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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  • Towards Industrial Strength Philosophy: How Analytical Ontology Can Help Medical Informatics.Barry Smith & Werner Ceusters - 2003 - Interdisciplinary Science Reviews 28 (2):106–111.
    Initially the problems of data integration, for example in the field of medicine, were resolved in case by case fashion. Pairs of databases were cross-calibrated by hand, rather as if one were translating from French into Hebrew. As the numbers and complexity of database systems increased, the idea arose of streamlining these efforts by constructing one single benchmark taxonomy, as it were a central switchboard, into which all of the various classification systems would need to be translated only once. By (...)
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  • Electronic Healthcare Ontologies : Philosophy, the real world and IT structures.Martin Berzell - 2010 - Dissertation, Linköping University
    The thesis investigates how the notion of ‘ontology’ has been used in the field of medical informatics and knowledge representation. Partly to investigate what an ‘ontology’ can be said to represent and what requirements we can have on a good ‘ontology’. The author studies the already existing medical terminologies and ‘ontologies’ to elucidate what theories they are based on. The terminological theories of Eugen Wüster and his legacy in medical informatics are studied. It is noted that terminological theories handling linguistic (...)
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  • Investigating Subsumption in SNOMED CT: An Exploration into Large Description Logic-Based Biomedical Terminologies.Olivier Bodenreider, Barry Smith, Anand Kumar & Anita Burgun - 2007 - Artificial Intelligence in Medicine 39 (3):183-195.
    Formalisms based on one or other flavor of Description Logic (DL) are sometimes put forward as helping to ensure that terminologies and controlled vocabularies comply with sound ontological principles. The objective of this paper is to study the degree to which one DL-based biomedical terminology (SNOMED CT) does indeed comply with such principles. We defined seven ontological principles (for example: each class must have at least one parent, each class must differ from its parent) and examined the properties of SNOMED (...)
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  • Switching Partners: Dancing with the Ontological Engineers.Werner Ceusters & Barry Smith - 2011 - In Thomas Batcherer & Roderick Coover (eds.), Switching Codes: Thinking through Digital Technology in the Humanities and the Arts. University of Chicago Press. pp. 103--124.
    Ontologies are today being applied in almost every field to support the alignment and retrieval of data of distributed provenance. Here we focus on new ontological work on dance and on related cultural phenomena belonging to what UNESCO calls the “intangible heritage.” Currently data and information about dance, including video data, are stored in an uncontrolled variety of ad hoc ways. This serves not only to prevent retrieval, comparison and analysis of the data, but may also impinge on our ability (...)
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  • Verso una filosofia al servizio dell' industria: l'utilità dell' ontologia analitica per l'informatica medica.Barry Smith & Werner Ceusters - 2003 - Sistemi Intelligenti 15 (3):407-417.
    La ricerca medica è afflitta da un problema di comunicazione. Comunità distinte di ricercatori si servono di terminologie diverse e spesso incompatibili per esprimere i risultati del loro lavoro, generando in questo modo problemi di integrazione tra database ogniqualvolta si presenti la necessità di inserire i dati medici nei computer. In un primo momento i problemi di integrazione tra database venivano risolti caso per caso, in seguito si è fatta strada l’idea di realizzare un’unica tassonomia di riferimento in cui tradurre, (...)
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