[29.14] A Science Ontology for Goal Driven Datamining in Astronomy

AAS 207th Meeting, 8-12 January 2006
Session 29 Observation Processing, Calibration and Control
Poster, Monday, 9:20am-7:00pm, January 9, 2006, Exhibit Hall

Previous | Session 29 | Next | Author Index | Block Schedule

[29.14] A Science Ontology for Goal Driven Datamining in Astronomy

E. Shaya, B. Thomas, P. Teuben, Z. Huang (U. Maryland)

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.

If you would like more information about this abstract, please follow the link to http://archive.astro.umd.edu/ont/index.html. This link was provided by the author. When you follow it, you will leave the Web site for this meeting; to return, you should use the Back comand on your browser.

Previous | Session 29 | Next