Dynamic taxonomies: a model for large information bases

Author

Sacco, Giovanni M.

Author_Institution

Dipt. di Inf., Torino Univ., Italy

Volume

12

Issue

3

fYear

2000

Firstpage

468

Lastpage

479

Abstract

A novel 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

Keywords

hypermedia; information retrieval; interactive systems; multimedia databases; user interfaces; very large databases; commercial applications; complex hypermedia networks; computer-illiterate people; conceptual level; dynamic taxonomies; indexing methods; information interfaces; information retrieval; intuitive operations; knowledge representation formalisms; large heterogeneous information base access; large information bases; multimedia information systems; query methods; result sets; retrieval models; semantic networks; shape retrieval; taxonomic model; user maps; visual interface; Computer Society; Computer networks; Encyclopedias; Indexing; Information retrieval; Multimedia databases; Multimedia systems; Navigation; Shape; Taxonomy;

fLanguage

English

Journal_Title

Knowledge and Data Engineering, IEEE Transactions on

Publisher

ieee

ISSN

1041-4347

Type

jour

DOI

10.1109/69.846296

Filename

846296