Managing ontology evolution: The case of ontology mappings and semantic annotations adaptation

On March 21, we are welcoming Marcos Dasilveira, Cédric Pruski and Silvio Cardoso, from the Luxembourg Institute of Science and Technology.
A presentation is scheduled in the afternoon (15.00-16.00) at the HES-SO\HEG Genève on the Battelle campus in Carouge.
HEG Genève, room B5.18
Ontologies, or more generally speaking controlled terminologies (CT), are now largely exploited in the medical field. This is for instance the case for the ICD10 classi cation that is used in billing systems for reporting diagnoses; the MedDRA terminology used to encode drug reports; the NCI Thesaurus implemented in the cancer research nomenclature; and SNOMEDCT which helps in annotating the content of Electronic Health Records. However, the dynamic aspect of biomedical knowledge forces knowledge engineers, in collaboration with domain experts, to continuously modify CT content to faithfully respect the evolution of the domain. These changes at CT level have a direct impact on depending artefacts like mappings between existing CT or semantic annotations attached with medical documents, causing inconsistencies in the information systems which exploit them for integrating, sharing or retrieving relevant information. In this talk we will present the outcomes of two research project DynaMO and ELISA to adapt ontology mappings and semantic annotations turned invalid by CT evolution. We will discuss theoretical aspects but also practical ones by proposing a demo of the tool supporting our approaches.
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