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A hybrid approach for searching in the semantic web
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Source International World Wide Web Conference archive
Proceedings of the 13th international conference on World Wide Web table of contents
New York, NY, USA
SESSION: Semantic web applications table of contents
Pages: 374 - 383  
Year of Publication: 2004
ISBN:1-58113-844-X
Authors
Cristiano Rocha  PUC-Rio Rua Marques de Sao Vicente, Rio de Janeiro, Brasil
Daniel Schwabe  PUC-Rio Rua Marques de Sao Vicente, Rio de Janeiro, Brasil
Marcus Poggi Aragao  PUC-Rio Rua Marques de Sao Vicente, Rio de Janeiro, Brasil
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 34,   Downloads (12 Months): 220,   Citation Count: 22
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ABSTRACT

This paper presents a search architecture that combines classical search techniques with spread activation techniques applied to a semantic model of a given domain. Given an ontology, weights are assigned to links based on certain properties of the ontology, so that they measure the strength of the relation. Spread activation techniques are used to find related concepts in the ontology given an initial set of concepts and corresponding initial activation values. These initial values are obtained from the results of classical search applied to the data associated with the concepts in the ontology. Two test cases were implemented, with very positive results. It was also observed that the proposed hybrid spread activation, combining the symbolic and the sub-symbolic approaches, achieved better results when compared to each of the approaches alone.


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.

 
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Stojanovic, N., Struder R., and Stojanovic, L. An Approach for the Ranking of Query Results in the Semantic Web. Proc. of ISWC '03 (Sanibel Island, FL, October 2003), Springer-Verlag, 500--516, 2003.
 
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CITED BY  22

Collaborative Colleagues:
Cristiano Rocha: colleagues
Daniel Schwabe: colleagues
Marcus Poggi Aragao: colleagues