作者
Andreas Schwarte, Peter Haase, Katja Hose, Ralf Schenkel, Michael Schmidt
发表日期
2011
研讨会论文
The Semantic Web–ISWC 2011: 10th International Semantic Web Conference, Bonn, Germany, October 23-27, 2011, Proceedings, Part I 10
页码范围
601-616
出版商
Springer Berlin Heidelberg
简介
Motivated by the ongoing success of Linked Data and the growing amount of semantic data sources available on the Web, new challenges to query processing are emerging. Especially in distributed settings that require joining data provided by multiple sources, sophisticated optimization techniques are necessary for efficient query processing. We propose novel join processing and grouping techniques to minimize the number of remote requests, and develop an effective solution for source selection in the absence of preprocessed metadata. We present FedX, a practical framework that enables efficient SPARQL query processing on heterogeneous, virtually integrated Linked Data sources. In experiments, we demonstrate the practicability and efficiency of our framework on a set of real-world queries and data sources from the Linked Open Data cloud. With FedX we achieve a significant improvement in …
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A Schwarte, P Haase, K Hose, R Schenkel, M Schmidt - The Semantic Web–ISWC 2011: 10th International …, 2011