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- W1569147139 abstract "We address the problem of linking observations from reality to a semantic web based knowledge base. Concepts in the biological domain are increasingly being formalized through ontologies, with an increasing adoption of semantic web standards. At the same time biology is becoming a data-centric science, since the increasing availability of high throughput technologies yields a humanly intractable amount of data describing the behavior of biological systems at the molecular level. This creates the need for automated support to interpret biological data given the pre-existing knowledge about the biological systems under study. While this is currently addressed through the analysis of attributes associated to biological entities, the availability of ontologies that represent biological systems makes it possible to improve the extent to which pre-existing knowledge can be used. The semantic web, in particular, provides a framework to integrate and create a formalized biological knowledge base. Linking ontological knowledge to observed data is inherently approximate, because of the quality of observations, the relation between observed data and entities and the classification of entities. We present an overall framework project and its current development status." @default.
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- W1569147139 date "2005-11-07" @default.
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- W1569147139 title "Ontology based analysis of experimental data" @default.
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