Category: +UI Visualization
        UIST95 UI
Abstract: Although various visualization techniques have been
        proposed for information retrieval tasks,
        most of them are based on a single strategy for
        viewing and navigating through the information space,
        and vague knowledge such as a fragment of the name
        of the object is not effective for the search.
        In contrast, people usually look for things using
        various vague clues simultaneously.
        For example, in a library, people can not only walk through
        the shelves to find a book they have in mind, but also they can
        be reminded of the author's name by viewing the books on the shelf and
        check the index cards to get more information.
        To enable such realistic search strategies,
        we developed a multiple-view information retrieval system
        where data visualization,
        keyword search, and category search
        are integrated with the same smooth zooming interface,
        and any vague knowledge about the data can be utilized
        to narrow the search space.
        Users can navigate through the information space at will,
        by modifying the search area in each view. 
Bibtype: InProceedings
Booktitle: Proceedings of the {ACM} Symposium on
        User Interface Software and Technology
        (UIST'95)
Month: nov
URL: http://pitecan.com/papers/UIST95/UIST95.pdf
        
Pages: 199-206
Author: Toshiyuki Masui
        Mitsuru Minakuchi
        George R. Borden IV
        Kouichi Kashiwagi
CategoryType: UIST'95発表論文
Title: Multiple-View Approach for
        Smooth Information Retrieval
Year: 1995
Date: 2003/08/01 04:59:50
CategoryYomi: ういすと95
Super: UIST95
Publisher: ACM Press