Abstract
Concepts and tools from research on the Semantic Web have found widespread application in the classification of biomedical literature works and research results. A more substantial advantage could come from the semantic classification of any kind of documents from research, or even from ordinary diagnostic test: this may pave the way to building an impressive, semantically searchable knowledge base. The use of semantic tagging at this operating level is hampered by the lack of proper tools. In this paper we present an approach to introduce semantic tagging in genotyping test procedures. A formal analysis of the process workflow is crucial to pinpoint stages where tagging might be applied. Later, an enriched Enterprise Content Management system allows the archiving of test documents, whose metadata can encompass terms from any kind of ontologies. The flexibility and the usability of the system represent key factors for an actual, widespread introduction of semantic tagging in this field.
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Bechini, A., Viotto, J., Giannini, R. (2010). Smooth Introduction of Semantic Tagging in Genotyping Procedures. In: Khuri, S., Lhotská, L., Pisanti, N. (eds) Information Technology in Bio- and Medical Informatics, ITBAM 2010. ITBAM 2010. Lecture Notes in Computer Science, vol 6266. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15020-3_18
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DOI: https://doi.org/10.1007/978-3-642-15020-3_18
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