Knowledge discovery in textual documentation: Qualitative and quantitative analyses

Journal of Documentation

Volumn 57, Issue 5, 2001, Pages 577-590

  Loh, Stanley ^a   de Oliveira, Palazzo M José ^a   Leite Gastal, Fábio ^b  

^a FEDERAL UNIVERSITY OF RIO GRANDE DO SUL   (Brazil)

^b Olivé Leite Hospital   (Brazil)

Author keywords

Documents; Knowledge based system; Text retrieval

Indexed keywords

EID: 0035647049     PISSN: 00220418     EISSN: None     Source Type: Journal    
DOI: 10.1108/EUM0000000007094     Document Type: Article

References (19)

1. Brazilian Center for Disease Classification. (1993). International classification of diseases and health related problems in Portuguese. 10th revision. São Paulo: EDUSP (in collaboration with the World Health Organisation).
2. Chen, H. (1994). The vocabulary problem in collaboration. IEEE Computer, special issue on CSCW, 27(5), 2–10.
3. Chen, H. et al. (1994). Automatic concept classification of text from electronic meetings. Communications of the ACM, 37(10), 56–73.
4. Chen, H. et al. (1997). A concept space approach to addressing the vocabulary problem in scientific information retrieval: an experiment on the worm community system. JASIS, 48(1), 17–31.
5. Chinchor, N. et al. (1993). Evaluating message understanding systems: an analysis of the Third Message Understanding Conference (MUC-3). Computational Linguistics, 19(3), 409–449.
6. Cowie, J. & Lehnert, W. (1996). Information extraction. Communications of the ACM, 39(1), 80–91.
7. Davies, R. (1989). The creation of new knowledge by information retrieval and classification. Journal of Documentation, 45(4), 273–301.
8. Feldman, R. & Dagan, I. (1995). Knowledge discovery in textual databases (KDT). In: Fayyad, U. & Uthurusamy, R., eds. Proceedings of the 1st International Conference on Knowledge Discovery (KDD-95). Cambridge: AAAI/MIT Press, 112–117.
9. Feldman, R. & Dagan, I. (1998). Mining text using keyword distributions. Journal of Intelligent Information Systems, 10(3), 281–300.
10. Frawley, W.J. et al. (1991). Knowledge discovery in databases: an overview. In: Piatetsky-Shapiro, G. & Frawley, W.J., eds. Knowledge discovery in databases. Menlo Park: AAAI/MIT Press, 1991, 1–30.
11. Furnas, G.W. et al. (1987). The vocabulary problem in human-system communication. Communications of the ACM, 30(11), 964–971.
12. Gaizauskas, R. & Wilks, Y. (1998). Information extraction: beyond document retrieval. Journal of Documentation, 54(1), 70–105.
13. Ingargiola, G. (1996). Building classification models: ID3 and C4.5. http://www.cis. temple.edu/~ingargiola/cis587/readings/id3-c45.html (visited August 2000).
14. Lewis, D.D. (1991). Evaluating text categorization. In: Proceedings of the Speech and Natural Language Workshop. San Mateo: Morgan Kaufmann, 312–318. http://www.research.att.com/~lewis (visited March 2000).
15. Lin, C.H. & Chen, H. (1996). An automatic indexing and neural network approach to concept retrieval and classification of multilingual (Chinese- English) documents. IEEE Transactions on Systems, Man and Cybernetics, 26(1), 1–14. http://ai.bpa.arizona.edu/papers/chinese93/chinese93.html (visited November 1999).
16. Lin, S.H. et al. (1998). Extracting classification knowledge of Internet documents with mining term associations: a semantic approach. In: Croft, W.B. et al., eds. Proceedings of the International ACM-SIGIR Conference on Research and Development in Information Retrieval (SIGIR-98). New York: ACM Press, 241–249.
17. Loh, S. et al. (2000). Concept-based knowledge discovery in texts extracted from the web. ACM SIGKDD Explorations, 2(1), 29–39.
18. Sowa, J.F. (2000). Knowledge representation: logical, philosophical, and computational foundations. Pacific Grove: Brooks/Cole Publishing Co.
19. Wiener, E.D. et al. (1995). A neural network approach to topic spotting. In: 4th Annual Symposium on Document Analysis and Information Retrieval (SDAIR'95), Las Vegas. http://www.stern.nyu.edu/~aweigend/Research/Papers/TextCategorization (visited March 2000).