Abstract
The ISO/HL7 27931:2009 standard intends to establish a global interoperability framework for Healthcare applications. However, being a messaging related protocol, it lacks a semantic foundation for interoperability at a machine treatable level has intended through the Semantic Web. There is no alignment between the HL7 V2.xml message payloads and a meaning service like a suitable ontology. Careful application of Semantic Web tools and concepts can ease extremely the path to the fundamental concept of Shared Semantics. In this paper the Semantic Web and Artificial Intelligence tools and techniques that allow aligned ontology population are presented and their applicability discussed. We present the coverage of HL7 RIM inadequacy for ontology mapping and how to circumvent it, NLP techniques for semi automated ontology population and discuss the current trends about knowledge representation and reasoning that concur to the proposed achievement.
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Keywords
- Latent Dirichlet Allocation
- Latent Semantic Analysis
- Unify Medical Language System
- Word Sense Disambiguation
- Biomedical Ontology
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Mendes, D., Rodrigues, I. (2011). A Semantic Web Pragmatic Approach to Develop Clinical Ontologies, and Thus Semantic Interoperability, Based in HL7 v2.XML Messaging. In: Cruz-Cunha, M.M., Varajão, J., Powell, P., Martinho, R. (eds) ENTERprise Information Systems. CENTERIS 2011. Communications in Computer and Information Science, vol 221. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24352-3_32
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DOI: https://doi.org/10.1007/978-3-642-24352-3_32
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