RT Journal Article
JF IEEE Transactions on Knowledge & Data Engineering
YR 2000
VO 12
IS
SP 468
TI Dynamic Taxonomies: A Model for Large Information Bases
A1 Giovanni M. Sacco,
K1 Information storage and retrieval
K1 indexing methods
K1 retrieval models
K1 large text archives
K1 information interfaces and presentation
K1 multimedia information systems
K1 hypertext navigation and maps
K1 knowledge representation formalisms and methods
K1 semantic networks.
AB <p><b>Abstract</b>—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.</p>
PB IEEE Computer Society, [URL:http://www.computer.org]
SN 1041-4347
LA English
DO 10.1109/69.846296
LK http://doi.ieeecomputersociety.org/10.1109/69.846296