Abstract
SNOMED CT - advances in concept mapping, retrieval, and ontological foundations. Selected contributions to the Semantic Mining Conference on SNOMED CT (SMCS 2006).
Highlights
Open AccessSNOMED CT – advances in concept mapping, retrieval, and ontological foundations
All terminology systems in current routine use rest on informal specifications. Their semantics are essentially rooted in a human understanding of natural language and implicit assumptions about the taxonomic, partonomic and other unspecified relations between terms
Interpreting such relations in light of a particular search, a decision support problem or, even more challenging, the drawing of ad hoc inferences often leads to strange and erroneous results. This is usually due to a lack of any rigid, formal semantics and ontological foundation underlying the respective terminological systems, an issue that has been increasingly addressed in recent years
Summary
SNOMED CT – advances in concept mapping, retrieval, and ontological foundations. Selected contributions to the Semantic. There are still only very few prototypical implementations of SNOMED CT in clinical settings, the feasibility of such a comprehensive terminology as basis for the whole health delivery process is still subject to discussion, and several shortcomings, regarding both SNOMED CT architeture and content, still persist [9] The papers in this supplement of BMC Medical Informatics and Decision Making are extended and updated contributions to the Semantic Mining Conference on SNOMED CT (SMCS 2006), organized by the European Union Network of Excellence "Semantic Interoperability and Data Mining in Biomedicine" in October 2006. The authors provide evidence that the logical structure of SNOMED CT can be employed to improve term grouping and retrieval in the WHO Adverse Reaction Terminology, important for clinical trials and medical care Another mapping experience is reported by Yefeng Wang, Jon Patrick, Graeme Miller, and Julie O'Hallaran in A Computational Linguistics Motivated Mapping of ICPC-2 PLUS to SNOMED CT [13]. We hope that you will enjoy this special issue and that it helps you keeping track of some of the fascinating research in applied terminology, ontology and clinical terminologies
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