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Báo cáo khoa học: "Aligning Medical Domain Ontologies for Clinical Query Extraction"

Often, there is a need to use the knowledge from multiple ontologies. This is particularly the case within the context of medical imaging, where a single ontology is not enough to provide the complementary knowledge about anatomy, radiology and diseases that is required by the related applications. Consequently, semantic integration of these different but related types of medical knowledge that is present in disparate domain ontologies becomes necessary. Medical ontology alignment addresses this need by identifying the semantically equivalent concepts across multiple medical ontologies. . | Aligning Medical Domain Ontologies for Clinical Query Extraction Pinar Wennerberg Siemens AG Munich Germany TU Darmstadt Darmstadt Germany pinar.wennerberg.ext@siemens.com Abstract Often there is a need to use the knowledge from multiple ontologies. This is particularly the case within the context of medical imaging where a single ontology is not enough to provide the complementary knowledge about anatomy radiology and diseases that is required by the related applications. Consequently semantic integration of these different but related types of medical knowledge that is present in disparate domain ontologies becomes necessary. Medical ontology alignment addresses this need by identifying the semantically equivalent concepts across multiple medical ontologies. The resulting alignments can then be used to annotate the medical images and related patient text data. A corresponding semantic search engine that operates on these annotations i.e. alignments instead of simple keywords can in this way deliver the clinical users a coherent set of medical image and patient text data. 1 Introduction As the content of numerous ontologies in the biomedical domain increases so does the need for sharing and reusing this body of knowledge. Often there is a need to use the knowledge from multiple ontologies. This is particularly the case within the context of medical imaging where a single ontology is not enough to support the necessary heterogeneous tasks that require complementary knowledge about human anatomy radiology and diseases. Medical imaging constitutes the context of this work which lies within the Theseus-MEDICO1 use case. The Theseus-MEDICO use case has the objective of building the next generation of intelligent scalable and robust search engine for the medi 1 http theseus-programm.de scenarios en medico cal imaging domain. medico s proposed solution relies on ontology based semantic annotation of the medical image contents and the related patient data. Semantic .