This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Dynamic Taxonomies: A Model for Large Information Bases
May/June 2000 (vol. 12 no. 3)
pp. 468-479

Abstract—A new taxonomic model for structuring and accessing large heterogeneous information bases is presented. The model is designed to simplify both classification and access by computer-illiterate people. It defines simple and intuitive operations to access large information bases at the conceptual level and at different levels of abstraction, in a totally assisted way, through a simple, yet effective visual interface. The model can also be used to summarize result sets computed by other query methods, such as information retrieval, shape retrieval, etc., and to provide user maps for complex hypermedia networks. The experience gained by applying this model to commercial applications is reported.

[1] F. Ankesarla et al., “The Internet Gopher,” Internet RFC 1426, Mar. 1993.
[2] T. Berners-Lee, R. Caililiau, A. Luotonen, H.F. Nielsen, and A. Secret, “The World Wide Web,” Comm. ACM, vol. 37, no 8, pp. 76-82, Aug. 1994.
[3] D. Chamberlin et al., “SEQUEL2: A Unified Approach to Data Definition, Manipulation and Control,” IBM J. Research and Devolpment, vol. 20, p. 6, Nov. 1976.
[4] “Computing Reviews Classification System,” ACM Computing Reviews, vol. 35, no. 1, pp. 4-44, Jan. 1994.
[5] D.R. Cutting et al., “Scatter/Gather: A Cluster-Base Approach to Browsing Large Document Collections,” Proc. ACM SIGIR '92, 1992.
[6] D.R. Cutting et al., “Constant Interaction-Time Scatter/Gather Browsing of Very Large Document Collections,” Proc. ACM SIGIR '93, 1993.
[7] WordNet—An Electronic Lexical Database, C. Fellbaum, ed. MIT Press, 1998.
[8] G. Fischer and H. Nieper-Lemke, “Helgon: Extending the Retrieval by Reformulation Paradigm,” Proc. ACM Human Factors in Computing Systems CHI '89, 1989.
[9] “Hypermedia,” Comm. ACM 37, K. Groenbaek and R. Trigg, eds., vol. 2, pp. 26-86, Feb. 1994.
[10] T. Nelson, “Replacing the Printed Word: A Complete Literary System,” Proc. IFIP Congress, pp. 1,013-1,023, 1980.
[11] J. Nielsen, “The Art of Navigating through Hypertext,” Comm. ACM, vol. 33, no. 3, pp. 296-310, Mar. 1990.
[12] P. Pirolli et al., “Scatter/Gather Browsing Communicates the Topic Structure of a Very Large Text Collection,” Proc. ACM Human Factors in Computing Systems CHI '96, 1996.
[13] S. Robertson and K. Spark-Jones, “Relevance Weighting of Search Terms,” J. Am. Soc. Information Sciences, vol. 27, pp. 129-146, 1976.
[14] D. Rotta, “Realizzazione di un sistema integrato con funzionalitáipermediali e di information retrieval e sua applicazione ad una specifica opera ipermediale,” thesis, Univ. of Turin, July 1994.
[15] G.M. Sacco, “Otter: An Information Retrieval System for Office Automation,” Proc. ACM-SIGOA Conf. Office Information Systems, pp. 104-112, 1984.
[16] G.M. Sacco, “Navigating the CD-ROM,” Proc. Int'l Conf. Business of CD-ROM, 1987.
[17] G.M. Sacco, “Information Discovery through Dynamic Taxonomies: A Concrete Example,” HyperSystems internal report, Dec. 1995.
[18] The Smart Retrieval System, G. Salton, ed. Englewood Cliffs, N.J.: Prentice Hall, 1971.
[19] D.D. Straube and M.T. Ozsu, “Queries and Query Processing in Object-Oriented Database Systems,” ACM Trans. Information Systems, vol. 8, no. 4, 1990.
[20] C.J. van Rijsbergen, Information Retrieval. London: Butterworths, 1979.

Index Terms:
Information storage and retrieval, indexing methods, retrieval models, large text archives, information interfaces and presentation, multimedia information systems, hypertext navigation and maps, knowledge representation formalisms and methods, semantic networks.
Citation:
Giovanni M. Sacco, "Dynamic Taxonomies: A Model for Large Information Bases," IEEE Transactions on Knowledge and Data Engineering, vol. 12, no. 3, pp. 468-479, May-June 2000, doi:10.1109/69.846296
Usage of this product signifies your acceptance of the Terms of Use.