Semantic interoperability of clinical information remains a largely unresolved issue. Both vocabularies and information models have been developed as semantic representations of structured clinical information. When bound together, syntactically diverse representations emerge, from which semantic equivalence can hardly be inferred.
An ontology may take a variety of forms, but necessarily it will include a vocabulary of terms, and some specification of their meaning. This includes definitions and an indication of how concepts are inter-related which collectively impose a structure on the domain and constrain the possible interpretations of terms. Standardization of biomedical data
|
How do we come to terms with this Biomedical Tower of Babel? This complex task requires a clear ontological commitment (ie, agreement to consistently use the shared vocabulary within some context), together with formalization rules. ontology-based representation of a clinical summary, guided by semantic patterns, allows homogeneous querying of heterogeneous information structures. Whether there are a finite number of top-level patterns is an open question. The tutorial is designed to fill this gap. It will serve as an introduction to the much-needed theoretical reflection on standards and ontologies as applied in the domains of health care and biomedical research. Case Study Utilizing CommonKADS as knowledge methodology in order to integrate and reason heterogeneous complex and multi-dimensional biomedical of biomedical knowledge collections, the ability to apply such knowledge methodology to biomedical data sets requires an understanding of the sources of such knowledge, and methods of applying them to reasoning applications. Goals This tutorial will provide participants with an understanding of how ontologies and terminologies are used in a variety of contexts in clinical and transnational research. By the end of the tutorial, participants will be able to understand:
|