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.
YARS2: A Federated Repository for Querying Graph Structured Data from the Web was presented at this event.
Keywords: Application software, Data management, Database, Grid computing, Grid Computing, Information integration, Peer-to-peer, Semantic Web, Software agent, Software Agent, Web service, Web Service
Resource URI on the dog food server: http://data.semanticweb.org/conference/iswc-aswc/2007/tracks/research/papers/211
Same as: http://revyu.com/things/iswc-aswc-2007-research-paper-211-yars2-a
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