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

by: Andreas Harth and Jürgen Umbrich and Aidan Hogan and Stefan Decker

In: Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference ISWC/ASWC2007, Busan, South Korea , Vol. 4825Berlin, Heidelberg: Springer Verlag , November (2007) , p. 211--224.

Resources (URL, PDF, PS...)

URL:	http://iswc2007.semanticweb.org/papers/211.pdf

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.

BibTeX record

@inproceedings{Harth/2007/YARS2:,
  address = {Berlin, Heidelberg},
  author = {Andreas Harth and Jürgen Umbrich and Aidan Hogan and Stefan Decker},
  booktitle = {Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Korea},
  crossref = {http://data.semanticweb.org/conference/iswc-aswc/2007/proceedings},
  editor = {Karl Aberer and Key-Sun Choi and Natasha Noy and Dean Allemang and Kyung-Il Lee and Lyndon J B Nixon and Jennifer Golbeck and Peter Mika and Diana Maynard and Guus Schreiber and Philippe Cudré-Mauroux},
  interHash = {aed0f2561ec3393b00795749d7fde922},
  intraHash = {47494770bd04e745700dd2998fc668bb},
  pages = {211--224},
  publisher = {Springer Verlag},
  series = {LNCS},
  title = {YARS2: A Federated Repository for Querying Graph Structured Data from the Web},
  url = {http://iswc2007.semanticweb.org/papers/211.pdf},
  volume = {4825},
  year = {2007},
  month = {November},
  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.}
}

Endnote record

%0 Conference Paper
%1 Harth/2007/YARS2:
%A Andreas Harth
%A Jürgen Umbrich
%A Aidan Hogan
%A Stefan Decker
%B Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Korea
%C Berlin, Heidelberg
%D 2007
%E Karl Aberer
%E Key-Sun Choi
%E Natasha Noy
%E Dean Allemang
%E Kyung-Il Lee
%E Lyndon J B Nixon
%E Jennifer Golbeck
%E Peter Mika
%E Diana Maynard
%E Guus Schreiber
%E Philippe Cudré-Mauroux
%I Springer Verlag
%K 
%P 211--224
%T YARS2: A Federated Repository for Querying Graph Structured Data from the Web
%U http://iswc2007.semanticweb.org/papers/211.pdf
%V 4825
%X 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.