Multiple viewed search engine for an e-journal - A case study on zoological science

Takahiro Seki, Taiki Wada, Yasuhiro Yamada, Nozomi Ytow, Sachio Hirokawa

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    8 Citations (Scopus)

    Abstract

    The multiple viewed search engine presented here retrieves documents of an indicated search area and displays a matrix of the distribution of the clustering from two aspects of the retrieval result. The search engine provides a visual and semantic bird's-eye view of the entire retrieval result. In addition, the characteristic words of each cluster are displayed in the matrix, and supports narrowing of the search. Furthermore, it is possible to immediately change the analysis criteria or the number of clusters and to use a zooming function. Thus, various retrieval conditions for a query can be attempted immediately and continuously. As a case study, this paper performs several analyses on the electronic journal Zoological Science using a multiple viewed search engine.

    Original languageEnglish
    Title of host publicationHuman-Computer Interaction
    Subtitle of host publicationHCI Intelligent Multimodal Interaction Environments - 12th International Conference, HCI International 2007, Proceedings
    PublisherSpringer Verlag
    Pages989-998
    Number of pages10
    EditionPART 4
    ISBN (Print)9783540731092
    DOIs
    Publication statusPublished - 2007
    Event12th International Conference on Human-Computer Interaction, HCI International 2007 - Beijing, China
    Duration: Jul 22 2007Jul 27 2007

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    NumberPART 4
    Volume4553 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other12th International Conference on Human-Computer Interaction, HCI International 2007
    Country/TerritoryChina
    CityBeijing
    Period7/22/077/27/07

    All Science Journal Classification (ASJC) codes

    • Theoretical Computer Science
    • Computer Science(all)

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