A Science Ontology for Goal Driven Datamining in Astronomy

Details A Science Ontology for Goal Driven Datamining in Astronomy A Science Ontology for Goal Driven Datamining in Astronomy

Dec 2005

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005aas...207.2914s&link_type=abstract

American Astronomical Society Meeting 207, #29.14; Bulletin of the American Astronomical Society, Vol. 37, p.1214

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An ontology, in the computer science sense, is a formal description of objects, their properties and the relationship between properties. Ontology based systems are able to reason and draw inferences. An important facility of ontological networks is an ability to calculate paths to find all paths that lead to a given goal.
Ontology can be used to tag or describe data (tables, columns, rows, data files, etc) in a powerful new way that paves the way for high level query, ie. science based rather than datacentric. We will present the Science ontology in the Web Ontology Language (http://archive.astro.umd.edu/ont/Science.owl) and describe how it will be employed at the UMD Astronomical Data Center (http://adc.astro.umd.edu and http://archive.astro.umd.edu/archive) for goal driven datamining and metadata enhancement.

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