ADERIS: adaptively integrating RDF data from SPARQL endpoints

Authors:
Steven Lynden;Isao Kojima;Akiyoshi Matono;Yusuke Tanimura
Affiliations:
Information Technology Research Institute, National Institute of Advanced Industrial, Science and Technology (AIST), Tsukuba, Japan;Information Technology Research Institute, National Institute of Advanced Industrial, Science and Technology (AIST), Tsukuba, Japan;Information Technology Research Institute, National Institute of Advanced Industrial, Science and Technology (AIST), Tsukuba, Japan;Information Technology Research Institute, National Institute of Advanced Industrial, Science and Technology (AIST), Tsukuba, Japan
Venue:
DASFAA'10 Proceedings of the 15th international conference on Database Systems for Advanced Applications - Volume Part II
Year:
2010

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Abstract

This paper describes the Adaptive Distributed Endpoint RDF Integration System (ADERIS), an adaptive, distributed query processor for integrating RDF data from multiple data resources supporting the SPARQL query language and protocol. The system allows a user to issue a federated query without any knowledge of the data contained in each endpoint and without specifying details of how the query should be executed. ADERIS relies on very limited information about each RDF data source to construct SPARQL source queries, the results of which are used to construct RDF predicate tables, which are integrated using pipelined index nested loop joins, the number and order of which may vary during query execution in order to reduce response time.