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An approach for indexing, storing and retrieving domain knowledge
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Source Symposium on Applied Computing archive
Proceedings of the 2007 ACM symposium on Applied computing table of contents
Seoul, Korea
SESSION: Semantic web and applications table of contents
Pages: 1381 - 1382  
Year of Publication: 2007
ISBN:1-59593-480-4
Authors
Hao Wu  Huazhong University of Science and Technology, Wuhan, China
Hai Jin  Huazhong University of Science and Technology, Wuhan, China
Xiaomin Ning  Huazhong University of Science and Technology, Wuhan, China
Sponsor
SIGAPP: ACM Special Interest Group on Applied Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

In this short paper, we present our solution to index, store and retrieve the domain knowledge. The main principle exploits Lucene to index the domain knowledge under guide of the domain schema. The method to map domain knowledge structure into Lucene index structure, store and update the indices, and to transfer RDF-based query into Lucene's query are presented.


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
Wilkinson, K., Sayers, C., Kuno, H. A., and Reynolds, D. Efficient RDF storage and retrieval in Jena2. In Proceedings of 1st International Workshop on Semantic Web and Databases. 2003, 131--150.
 
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Ning, X., Jin, H., and Wu, H. SemreX: towards large-scale literature information retrieval and browsing with semantic association. In Proceedings of 2nd IEEE International Symposium on Service-Oriented Applications, Integration and Collaboration (SOAIC'06). 2006.