SPARQLeR: Extended Sparql for Semantic Association Discovery
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Complex relationships, frequently referred to as semantic associations, are the essence of the Semantic Web. Query and retrieval of semantic associations has been an important task in many analytical and scientific activities, such as detecting money laundering schemes and querying for metabolic pathways in biochemistry. We believe that support for semantic path queries should be an integral component of RDF query languages. In this paper, we present SPARQLeR, an extension of the Sparql query language supporting semantic path queries. The proposed extension fits well within the overall syntax and semantics of Sparql and allows easy and natural formulation of queries involving a wide variety of semantic path patterns in RDF graphs. SPARQLeR's path patterns can capture many semantic details of the queried associations. We also present an implementation of SPARQLeR and its initial performance results. Our implementation is built over our own BRAHMS RDF storage system.
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