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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.

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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.
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
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