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Semantic search
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Source International World Wide Web Conference archive
Proceedings of the 12th international conference on World Wide Web table of contents
Budapest, Hungary
SESSION: Using the semantic web table of contents
Pages: 700 - 709  
Year of Publication: 2003
ISBN:1-58113-680-3
Authors
R. Guha  IBM Almaden, San Jose, CA
Rob McCool  Stanford University, Stanford, CA
Eric Miller  W3C/MIT, Cambridge, MA
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 69,   Downloads (12 Months): 548,   Citation Count: 46
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ABSTRACT

Activities such as Web Services and the Semantic Web are working to create a web of distributed machine understandable data. In this paper we present an application called 'Semantic Search' which is built on these supporting technologies and is designed to improve traditional web searching. We provide an overview of TAP, the application framework upon which the Semantic Search is built. We describe two implemented Semantic Search systems which, based on the denotation of the search query, augment traditional search results with relevant data aggregated from distributed sources. We also discuss some general issues related to searching and the Semantic Web and outline how an understanding of the semantics of the search terms can be used to provide better results.


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
Apache: The apache http server. http://www.apache.org/.
 
2
DQL: Daml query language. http://www.daml.org/dql/.
 
3
DAML: Darpa agent markup language. http://www.daml.org/.
 
4
ODP: The open directory project. http://www.dmoz.org/.
 
5
RSS: Rdf site summary. http://www.purl.org/rss/1.0/.
 
6
XQuery: S. Boag, D. Chamberlin, M. F. Fernandez, D. Florescu, J. Robie, J. Simeon, and M. Stefanescu. XQuery 1.0: An XML query language. http://www.w3.org/TR/xquery/, 30 April 2002. W3C working draft.
 
7
SOAP: D. Box, D. Ehnebuske, G. Kakivaya, A. Layman, N. Mendelsohn, H. F. Nielsen, S. Thatte, and D. Winder. Simple Object Access Protocol. http://www.w3.org/TR/SOAP/, May 2000.
 
8
RDFS: D. Brickley and R. V. Guha. Rdf schema. http://www.w3.org/TR/rdf-schema/.
 
9
Google: Google. http://www.google.com.
 
10
SHOE: J. Hein and J. Hendler. Searching the web with shoe. In AAAI-2000 Workshop on AI for Web Search.
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12
Jena: B. McBride. Jena: Implementing the rdf model and syntax specication. http://www- uk.hpl.hp.com/people/bwm/papers/20001221-paper/, 2001. Hewlett Packard Laboratories.
13
 
14
 
15
LSI: C. H. Papadimitriou, H. Tamaki, P. Raghavan, and S. Vempala. Latent semantic indexing: A probabilistic analysis. pages 159--168, 1998.
 
16
TAPKB: R.Guha and R. McCool. The tap knowledge base. http://tap.stanford.edu/.
 
17
TAP: R.Guha and R. McCool. Tap: Towards a web of data. http://tap.stanford.edu/.
 
18
RANK: R. Siebes and F. van Harmelen. Ranking agent statements for building evolving ontologies. In P. Bouquet, editor, Workshop on Meaning Negotiation, in conjunction with the Eighteenth National Conference on Articial Intelligence, July 2002.

CITED BY  47

Collaborative Colleagues:
R. Guha: colleagues
Rob McCool: colleagues
Eric Miller: colleagues