Ontology based data integration and context-based mining for life sciences Authors
نویسندگان
چکیده
Semantic web is a useful framework for accessing heterogeneous data sources, and its supporting technologies have already been utilized for data integration in life science domain. In this context, the primary challenge is to tackle the problem of evolving concepts, which is a similar challenge encountered by cognitive scientists using rule-based formalisms. In our data integration effort, we aim at implementing a restricted semantic web framework, complementing it by conceptual modeling methods.
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