Angelos Charalambidis
ABSTRACT
Dataset description vocabularies focus on provenance, versioning, licensing, and similar metadata. VoID is a notable exception, providing some expressivity for describing subsets and their contents and can, to some extent, be used for discovering relevant resources and for optimizing querying. In this poster we describe an extension of VoID that provides the expressivity needed in order to support the query planning methods typically used in federated querying.
- Chaudhuri, S.: An overview of query optimization in relational systems. In: Proceedings of the 17th ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems (PODS '98). (1998) 34--43 Google Scholar
Digital Library
- Görlitz, O., Staab, S.: SPLENDID: SPARQL endpoint federation exploiting VOID descriptions. In: Proc. 2nd Intl Workshop on Consuming Linked Data (COLD 2011), Bonn, Germany, Oct 2011. Volume 782 of CEUR Workshop Proceedings. (2011)Google Scholar
- Acosta, M., Vidal, M.E., Lampo, T., Castillo, J., Ruckhaus, E.: ANAPSID: an adaptive query processing engine for SPARQL endpoints. In: Proc Intl Semantic Web Conference. LNCS 7031, Springer (2011) Google ScholarDigital Library
Index Terms
- Dataset Descriptions for Optimizing Federated Querying
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