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

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.

• Type: Conference
• Year: 2007
• Where: SEMWEB
• Authors: Andreas Harth, Jürgen Umbrich, Aidan Hogan, Stefan Decker
• Keywords: End-to-end Semantic Search, Graph Data Model, Query Evaluation Methods, SEMWEB 2007