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The relation browser tool for faceted exploratory search

Published: 16 June 2008 Publication History

Abstract

The Relation Browser (RB) is a tool developed by the Interaction Design Lab at the University of North Carolina at Chapel Hill for understanding relationships between items in a collection and for exploring an information space (e.g., a set of documents or webpages). The RB has been through a number of major design revisions. At JCDL 2007, we reported on two studies of information seeking that we conducted using the RB++ version of the Relation Browser software. Based on the results of those studies, we developed a set of design changes and implemented these in a new version called RB07. We will demonstrate the new RB07 interface and describe the rationale for our design changes.

Reference

[1]
Capra, R., Marchionini, G., Oh, J. S., Stutzman, F., and Zhang, Y. Effects of structure and interaction style on distinct search tasks. Proc. JCDL 2007, ACM Press, 442--451.

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  • (2023)An SUI-based approach to explore visual search results cluster-graphsPLOS ONE10.1371/journal.pone.028040018:1(e0280400)Online publication date: 20-Jan-2023
  • (2023)Dynamic Exploratory Search for the Information Retrieval AnthologyAdvances in Information Retrieval10.1007/978-3-031-28241-6_21(242-247)Online publication date: 2-Apr-2023
  • (2022)Tag-based information access in image collections: insights from log and eye-gaze analysesKnowledge and Information Systems10.1007/s10115-019-01343-461:3(1715-1742)Online publication date: 11-Mar-2022
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  1. The relation browser tool for faceted exploratory search

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    cover image ACM Conferences
    JCDL '08: Proceedings of the 8th ACM/IEEE-CS joint conference on Digital libraries
    June 2008
    490 pages
    ISBN:9781595939982
    DOI:10.1145/1378889
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 16 June 2008

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    Author Tags

    1. dynamic interfaces
    2. exploratory search
    3. faceted browsing

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    • Demonstration

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    JCDL08
    JCDL08: Joint Conference on Digital Libraries
    June 16 - 20, 2008
    PA, Pittsburgh PA, USA

    Acceptance Rates

    JCDL '08 Paper Acceptance Rate 33 of 117 submissions, 28%;
    Overall Acceptance Rate 415 of 1,482 submissions, 28%

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    Cited By

    View all
    • (2023)An SUI-based approach to explore visual search results cluster-graphsPLOS ONE10.1371/journal.pone.028040018:1(e0280400)Online publication date: 20-Jan-2023
    • (2023)Dynamic Exploratory Search for the Information Retrieval AnthologyAdvances in Information Retrieval10.1007/978-3-031-28241-6_21(242-247)Online publication date: 2-Apr-2023
    • (2022)Tag-based information access in image collections: insights from log and eye-gaze analysesKnowledge and Information Systems10.1007/s10115-019-01343-461:3(1715-1742)Online publication date: 11-Mar-2022
    • (2022)Faceted SearchundefinedOnline publication date: 10-Mar-2022
    • (2022)Exploratory SearchundefinedOnline publication date: 10-Mar-2022
    • (2021)Comprehensive Review and Future Research Directions on Dynamic Faceted SearchApplied Sciences10.3390/app1117811311:17(8113)Online publication date: 31-Aug-2021
    • (2020)Personalizing Information Exploration with an Open User ModelProceedings of the 31st ACM Conference on Hypertext and Social Media10.1145/3372923.3404797(167-176)Online publication date: 13-Jul-2020
    • (2019)Understanding Faceted Search from Data Science and Human Factor PerspectivesACM Transactions on Information Systems10.1145/328410137:2(1-27)Online publication date: 11-Jan-2019
    • (2019)An Automatic Intent Modeling Algorithm for Interactive Data ExplorationComputational Intelligence in Data Mining10.1007/978-981-13-8676-3_12(127-140)Online publication date: 18-Aug-2019
    • (2018)Learn-As-You-Go : Feedback-Driven Result Ranking and Query Refinement for Interactive Data ExplorationProcedia Computer Science10.1016/j.procs.2017.12.071125(550-559)Online publication date: 2018
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