Swoogle is a crawler-based indexing and retrieval system for the Semantic Web. It extracts metadata for each discovered document, and computes relations between documents. Discovered documents are also indexed by an information retrieval system which can use either character N-Gram or URIrefs as keywords to find relevant documents and to compute the similarity among a set of documents. One of the interesting properties we compute is <i>ontology rank</i>, a measure of the importance of a Semantic Web document.
%0 Conference Paper
%1 ding04swoogle
%A Ding, Li
%A Finin, Tim
%A Joshi, Anupam
%A Pan, Rong
%A Cost, Scott R.
%A Peng, Yun
%A Reddivari, Pavan
%A Doshi, Vishal
%A Sachs, Joel
%B CIKM '04: Proceedings of the thirteenth ACM conference on Information and knowledge management
%C New York, NY, USA
%D 2004
%I ACM Press
%K research.ir.ranking research.sw research.system
%P 652--659
%R 10.1145/1031171.1031289
%T Swoogle: a search and metadata engine for the semantic web
%U http://portal.acm.org/citation.cfm?id=1031289
%X Swoogle is a crawler-based indexing and retrieval system for the Semantic Web. It extracts metadata for each discovered document, and computes relations between documents. Discovered documents are also indexed by an information retrieval system which can use either character N-Gram or URIrefs as keywords to find relevant documents and to compute the similarity among a set of documents. One of the interesting properties we compute is <i>ontology rank</i>, a measure of the importance of a Semantic Web document.
%@ 1581138741
@inproceedings{ding04swoogle,
abstract = {Swoogle is a crawler-based indexing and retrieval system for the Semantic Web. It extracts metadata for each discovered document, and computes relations between documents. Discovered documents are also indexed by an information retrieval system which can use either character N-Gram or URIrefs as keywords to find relevant documents and to compute the similarity among a set of documents. One of the interesting properties we compute is <i>ontology rank</i>, a measure of the importance of a Semantic Web document.},
added-at = {2008-08-16T18:21:56.000+0200},
address = {New York, NY, USA},
author = {Ding, Li and Finin, Tim and Joshi, Anupam and Pan, Rong and Cost, Scott R. and Peng, Yun and Reddivari, Pavan and Doshi, Vishal and Sachs, Joel},
biburl = {https://www.bibsonomy.org/bibtex/21f0845fb743636675e303f76818dc505/msn},
booktitle = {CIKM '04: Proceedings of the thirteenth ACM conference on Information and knowledge management},
citeulike-article-id = {258855},
doi = {10.1145/1031171.1031289},
interhash = {4df72ee87d8b37dc3b454edfcb2f66bf},
intrahash = {1f0845fb743636675e303f76818dc505},
isbn = {1581138741},
keywords = {research.ir.ranking research.sw research.system},
pages = {652--659},
priority = {2},
publisher = {ACM Press},
timestamp = {2009-06-25T15:59:17.000+0200},
title = {Swoogle: a search and metadata engine for the semantic web},
url = {http://portal.acm.org/citation.cfm?id=1031289},
year = 2004
}