YARS2: A Federated Repository for Querying Graph Structured Data from the Web

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A paper written by Juergen Umbrich, Andreas Harth and Aidan Hogan. It was presented at the ISWC2007+ASWC2007.

[edit] Abstract

We present the architecture of an end-to-end semantic search engine that uses a graph data model to enable interactive query answering over structured and interlinked data collected from many disparate sources on the Web. In particular, we study distributed indexing methods for graph-structured data and parallel query evaluation methods on a cluster of computers. We evaluate the system on a dataset with 430 million statements collected from the Web, and provide scale-up experiments on 7 billion synthetically generated statements.

A linked list of all papers is provided in the article on ISWC2007+ASWC2007 papers. This article has originally been created from the ISWC 2007/ASWC 2007 metadata.

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