Towards a scalable search and query engine for the web

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Towards a scalable search and query engine for the web

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International World Wide Web Conference archive
Proceedings of the 16th international conference on World Wide Web table of contents

Banff, Alberta, Canada

POSTER SESSION: Systems table of contents

Pages: 1301 - 1302

Year of Publication: 2007

ISBN:978-1-59593-654-7

Authors

Aidan Hogan	Digital Enterprise Research Institute: Galway, Galway, Ireland
Andreas Harth	Digital Enterprise Research Institute: Galway, Galway, Ireland
Jürgen Umrich	Digital Enterprise Research Institute: Galway, Galway, Ireland
Stefan Decker	Digital Enterprise Research Institute: Galway, Galway, Ireland

Sponsor

ACM: Association for Computing Machinery

Publisher

ACM New York, NY, USA

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ABSTRACT

Current search engines do not fully leverage semantically rich datasets, or specialise in indexing just one domain-specific dataset.We present a search engine that uses the RDF data model to enable interactive query answering over richly structured and interlinked data collected from many disparate sources on the Web.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Andreas Harth , Stefan Decker, Optimized Index Structures for Querying RDF from the Web, Proceedings of the Third Latin American Web Congress, p.71, October 31-November 02, 2005 [doi>10.1109/LAWEB.2005.25]
	2	A. Harth, J. Umbrich, and S. Decker. MultiCrawler: A Pipelined Architecture for Crawling and Indexing Semantic Web Data. In 5th International Semantic Web Conference, 2006.
	3	A. Hogan, A. Harth, and S. Decker. ReConRank: A Scalable Ranking Method for Semantic Web Data with Context. In 2nd Workshop on Scalable Semantic Web Knowledge Base Systems, 2006.