OWLViper: Semantic Based Application for High Level Query and Analysis

Mathematics – Logic

Scientific paper

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Scientific paper

Our team of astronomers and programmers at U. of Maryland is creating an application that relies on W3C semantics language OWL to assist scientists to pose complex scientific questions. They will interact with a special graphical user interface to query distributed databases and to analyse resulting datasets. The ontology includes mathematical relationships between concepts that can be applied to user datasets without programming. It allows scientists to graphically represent their goals by selecting objects from hierarchical menus and then to restrict the properties of the objects. The user is presented with various routes of transformions to attain their goal. Pathways developed by users can be saved, reused and made publicly available to others. We are prototyping this system with astronomical methods for obtaining distances to galaxies.
Presently, we are experimenting with a simple OWL-S based work flow manager to execute transformation and logically search the registry and datacenters for appropriate data. The Astronomical Data Center (http://archive.astro.umd.edu/archive) is being retrofitted with RDF (Resource Description Format) files to semantically describe the data. These make use of our Science.owl ontology (http://arhive.astro.umd.edu/ont/index.html).

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