Optimization of query expansion source in formal concept analysis

Journal of Convergence Information Technology

Volumn 5, Issue 7, 2010, Pages 17-

  Wang, Chang ^a   Du, Yajun ^a   Zhang, Peiying ^a  

^a XIHUA UNIVERSITY   (China)

Author keywords

Concept similarity; Formal concept analysis; Query expansion; Relevance feedback

Indexed keywords

CONCEPT LATTICES; CONCEPT SIMILARITY; FORMAL CONCEPT ANALYSIS; HYBRID APPROACH; NOVEL METHODS; QUERY EXPANSION; RELEVANCE FEEDBACK;

EXPANSION; FEEDBACK; OPTIMIZATION;

INFORMATION ANALYSIS;

EID: 78649968791     PISSN: 19759320     EISSN: None     Source Type: Journal    
DOI: 10.4156/jcit.vol5.issue7.17     Document Type: Article

References (21)

1. J.Bhogal, A.Macfarlane, P.Smith, "A review of ontology based query expansion", Information Processing and Management, vol. 43, pp. 866-886, 2007.
2. Spink, A., Wolfram, D., Jansen, B. J., & Saracevic, T., "searching the web: The public and their queries", Journal of the American Society for Information Science, vol. 52, no. 3, pp. 226-234, 2001.
3. Metzler, D., Croft, B., "Latent Concept Expansion Using Markov Random Fields", In the Proceedings of SIGIR'2007, pp. 311-318.
4. Xu, J, Croft, B, "Query expansion using local and global document analysis", In the Proceedings of SIGIR'2006, pp. 4-11, 1996.
5. Zhao, L. et al., "Using query expansion in graph-based approach for query-focused multidocument summarization", Information Processing and Management, vol, 07, 2008.
6. Yoo S, Choi J., "On the query reformulation technique for effective MEDLINE document retrieval", J Biomed Inform, 2010.
7. Lourdes A. et al., "Structure of morphologically expanded queries: A genetic algorithm approach", Data & Knowledge Engineering, vol, 10, 2009.
8. Y. Yang, et al., "Cross-media retrieval using query dependent search methods", Pattern Recognition, vol, 2, 2010.
9. Salton, G., & Mcgill, J., Introduction to modern information retrieval, New York: Mcgraw Hill 1983.
10. S.E.Robertson, K.Sparck Jones, "Relevance weighting of search terms", Journal of the American Society for Information Science, vol, 27, no.3, pp.129-146, 1976.
11. Vakkari, P.et al., "Query Exhaustivity, relevance feedback and search success in automatic and interactive query expansion", American Society for Information Science and Technology (JASIST), vol, 60, no.2, 2003.
12. R. Wille, "Restructuring lattice theory: an approach based on hierarchies of concepts", in: I. Rival (Ed.), Ordered Sets, Reidel, Dordrecht, Boston, 1982, pp. 445-470.
13. B.Ganter, R. Wille, Formal Concept Analysis, Springer-Verlag, Heidelberg, 1999.
14. R. Wille, "Lattices in data analysis: How to draw them with a computer", Algorithms and order, Kluwer Acad. Publ., Dordrecht: pp 33-58, 1989.
15. R. Wille, "Concept lattices and conceptual knowledge systems", Comput. Math. Apll, vol, 23, pp 493-515, 1992.
16. R Gamter, B, Wille, R, "Formal Concept Analysis: Mathematical Foundations", Berlin: Springer- Verlag, 1999.
17. A. Formica, "Ontology-based concept similarity in Formal Concept Analysis", Information Sciences, pp.2624-2641, 2006.
18. A. Formica, "Concept similarity in Formal Concept Analysis: An information content approach", Knowledge-Based Systems, vol, 21, pp. 80-87, 2008.
19. F.A. Grootjen, Th.P. van der Weide, "Conceptual query expansion", Data & Knowledge Engineering, vol, 56, pp. 174-193, 2006.
20. F Alqadah, R Bhatnagar: Similarity Measures in Formal Concept Analysis. 2009.
21. R. Belohlavek, "Similarity relations in concept lattices", Journal of Logic and Computation, vol, 10, pp. 823-845, 2000.