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A Semantic Search Engine for the Storage Resource Broker
Category: Add-on components
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Project Description
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Project pageInformation discovery is looming as a major challenge with the growth of tera-byte size datagrids. In order to manage their distributed data collections, many scientific organizations are adopting San Diego SuperComputer's Storage Resource Broker (SRB). SRB's Metadata Catalogue (MCAT) focuses primarily on system or administrative metadata and supports domain-specific metadata through user-defined extensions. Although providing maximum flexibility, this approach will lead to interoperability problems when searching across distributed collections described using a variety of different user-defined metadata schemes. The aim of the project is to semantically augment SRB through an ontology and Resource Description Framework (RDF) descriptions in order to support arbitrary metadata schemata and to enhance the system’s search capabilities. We have develeloped a semantic search engine and interface built on top of an OWL ontology, RDF instance data and a Jena reasoning engine that enables easier and more sophisticated searching of heterogeneous data stored using SRB.
