Mining association rules for adaptive search engine based on RDF technology

IEEE Transactions on Industrial Electronics

Volumn 54, Issue 2, 2007, Pages 790-796

  Takama, Yasufumi ^a   Hattori, Shunichi ^a  

^a TOKYO METROPOLITAN UNIVERSITY   (Japan)

Author keywords

Adaptive search; Association rule; Information retrieval; Metadata; Semantic Web

Indexed keywords

ASSOCIATION RULES; DATA MINING; INFORMATION RETRIEVAL; METADATA; RSS; SEMANTIC WEB;

ADAPTIVE SEARCH ENGINE; HYBRID SEARCH ENGINE; MINING ASSOCIATION RULES;

SEARCH ENGINES;

EID: 34247107209     PISSN: 02780046     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIE.2007.891650     Document Type: Article

References (11)

1. T. B. Passin, Explorer's Guide to the Semantic Web. Greenwich, CT: Manning, 2004, ch. 1.
2. R. Baeza-Yates and B. Riberiro-Neto, Modern Information Retrieval. Essex, U.K.: ACM Press, 1999, ch. 2 and 3.
3. Y. Ohsawa, N. Benson, and M. Yachida, "KeyGraph: Automatic indexing by co-occurrence graph based on building construction metaphor," in Proc. Adv. Digital Libraries Conf., 1998, pp. 12-18.
4. DCMI, Dublin Core Metadata Element Set, Version1.1: Reference Description, 2004. [Online]. Available: http://dublincore.org/ documents/dces/
5. H. Stuckenschmidt et al., "Exploring large document repositories with RDF technology: The DOPE project," IEEE Intell. Syst., vol. 19, no. 3, pp. 34-40, May/Jun. 2004.
6. G. Klyne and J. Carroll, Eds., Resource Description Framework (RDF): Concepts and Abstract Syntax, 2004. [Online]. Available: http:// www.w3.org/TR/rdf-concepts/
7. D. Brickley and R. V. Guha, Eds., RDF Vocabulary Description Language 1.0: RDF Schema, 2004. [Online]. Hvailable: http://www.w3.org/TR/ rdf-schema/
8. K. Kamei et al., "Collaborative information retrieval method among personal repositories," J. Jpn. Soc. Artif. Intell., vol. 19, no. 4, pp. 292-299, 2004, (written in Japanese).
9. Semantic Web Search, 2004. [Online]. Available: http:// www.semanticwebsearch.com/
10. S. Hattori and Y. Takama, "Web information repository employing hybrid search engine based on metadata," in Proc. 21th Fuzzy Syst. Symp. 2005, pp. 125-128, (in Japanese).
11. R. Agrawal and R. Srikant, "Fast algorithms for mining association rules," in Proc. 20th VLDB Conf., 1994, pp. 487-499.