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Grouping and Aggregate queries Over Semantic Web Databases
Irvine, California September 17-September 19
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICSC.2007.91International Conference on Semantic ...
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Dawit Seid, University of California, Irvine, USA
Sharad Mehrotra, University of California, Irvine, USA
As a growing number of applications represent data as semantic graphs like RDF (Resource Description Format) and the many entity-attribute-value formats, query languages for such data are being required to support operations beyond graph pattern matching and inference queries. Specifically the ability to express aggregate queries is an important feature which is either lacking or is implemented with little attention to the peculiarities of the data model. In this paper, we study the meaning and implementation of grouping and aggregate queries over RDF graphs. We first define grouping and aggregate operators algebraically and then show how the SPARQL query language can be extended to express grouping and aggregate queries.
Citation:
Dawit Seid, Sharad Mehrotra, "Grouping and Aggregate queries Over Semantic Web Databases," icsc, pp.775-782, International Conference on Semantic Computing (ICSC 2007), 2007
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