Εργαστήριο Γνώσης και Αβεβαιότητας

Knowledge and Uncertainty Research Laboratory

Context - Sensitive Query Expansion Based on Fuzzy Clustering of Index Terms

[conference]


Full reference

G. Akrivas, M. Wallace, G. Stamou, S. Kollias, Context - Sensitive Query Expansion Based on Fuzzy Clustering of Index Terms , Proceedings of Flexible Query Answering Systems 2002, Copenhagen, Denmark, October 27-29, 2002



6 known citations

  1. Chen, J., Kraft, D.H., Martin-Bautista, M.J., and Vila, M.-A., Chapter 18: Induction and Inference with Fuzzy Rules for Textual Information Retrieval, in Triantaphyllou, E. and Felici, G. (Eds.), Data Mining and Knowledge Discovery Approaches based on Rule Induction Techniques, Massive Computing Series, Heidelberg, Germany: Springer, 2006, pp. 629-654
  2. Y.I. Gaoxiang, H.U. Heping, L.U. Zhengding, L.I. Ruixuan, A Novel Web Query Automatic ?xpansion Based on Rough Set, Wuhan University Journal of Natural Sciences, 2006, 11(5): 1167-1171
  3. Gaoxiang Yi, Heping Hu, Web Query Automatic Expansion Based on Tolerance Rough Set, Joint International Conference on Autonomic and Autonomous Systems and International Conference on Networking and Services, 2005
  4. Ma Wei et al, Search term expansion of context-sensitive algorithm question, Journal of Dalian Railway Institute, 25(4), 2004
  5. Th. Athanasiadis, Y. Avrithis, Adding Semantics to Audiovisual Content: The FAETHON Project, Proc. of International Conference for Image and Video Retrieval (CIVR ?04), Dublin, Ireland, July 21-23, 2004.
  6. P. Dong and W. Ma, Context-Sensitive Query Expansion Algorithm Based on Fuzzy Clustering of Index Terms, Information Science, vol. 22, no. 8, 2004