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Towards a Human Anatomy Data Set for Query Pattern Mining based on Wikipedia and Domain Semantic Resources

Pinar Wennerberg; Paul Buitelaar; Sonja Zillner
In: Building and Evaluating Resources for Biomedical Text Mining. Workshop on Building and Evaluating Resources for Biomedical Text Mining (BioTxtM), located at LREC 2008, ELDA, 2008.


Human anatomy knowledge is an integral part of radiological information, which is necessary for image annotation in a semantic cross-modal image and information retrieval scenario. Anatomy and radiology related concepts and relations can be discovered from an anatomy corpus, which can be build up from Wikipedia as reported here. An ontology of human anatomy and a controlled vocabulary for radiology are used as knowledge resources in the search of significant concepts and relations. Our ultimate goal is to use the concepts and the relationships discovered in this way to identify potential query patterns. These query patterns are the abstractions of the actual queries that radiologists and clinicians would typically pose to a semantic search engine to find patient-specific sets of relevant images and textual data.