Term extraction + term clustering: an integrated platform for computer-aided terminology
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
Obol: integrating language and meaning in bio-ontologies: Conference Papers
Comparative and Functional Genomics
Ontology Matching
Measures of semantic similarity and relatedness in the biomedical domain
Journal of Biomedical Informatics
Statistical term profiling for query pattern mining
BioNLP '08 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing
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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.