Title of article
Browsing Image Collections with Representations of Common-Sense Activities
Author/Authors
Gordon، Andrew S. نويسنده ,
Issue Information
ماهنامه با شماره پیاپی سال 2001
Pages
-924
From page
925
To page
0
Abstract
To support browsing-based subject access to image collections, it is necessary to provide users with networks of subject terms that are organized in an intuitive, richly interconnected manner. A principled approach to this task is to organize the subject terms by their relationship to activity contexts that are commonly understood among users. This article describes a methodology for creating networks of subject terms by manually representing a large number of common-sense activities that are broadly related to image subject terms. The application of this methodology to the Library of Congress Thesaurus for Graphic Materials produced 768 representations that supported users of a prototype browsing-based retrieval system in searching large, indexed photograph collections.
Keywords
relational learning , Naive Bayes , text categorization , predicate invention
Journal title
Journal of the American Society for Information Science and Technology
Serial Year
2001
Journal title
Journal of the American Society for Information Science and Technology
Record number
35125
Link To Document