EPISOSE: An Epistemology-Based Social Search Framework for Exploratory Information Seeking

Yuqing Mao, Haifeng Shen, Chengzheng Sun

    Research output: Contribution to conferencePaperpeer-review

    Abstract

    Search engines are indispensable for locating information in WWW, but encounter great difficulties in handling exploratory information seeking, where precise keywords are hard to be formulated. A viable solution is to improve efficiency and quality of exploratory search by utilizing the wisdom of crowds (i.e., taking advantage of collective knowledge and efforts from a mass of searchers who share common or relevant search interests/goals). In this paper, we present an epistemology-based social search framework for supporting exploratory information seeking, which makes the best of both search engines’ immense power of information collection and pre-processing and human users’ knowledge of information filtering and post-processing. To validate the feasibility and effectiveness of the framework, we have designed and implemented a prototype system with the guidance of the framework. Our experimental results show that an epistemology-based social search system outperforms a conventional search engine for most exploratory information seeking tasks.

    Original languageEnglish
    Pages211-222
    Number of pages12
    DOIs
    Publication statusPublished - 1 Jan 2010
    Event2010 IFIP World Computer Congress -
    Duration: 1 Jan 2010 → …

    Conference

    Conference2010 IFIP World Computer Congress
    Period1/01/10 → …

    Keywords

    • Collaborative Search
    • Exploratory Search
    • Information Seeking
    • Search Epistemology
    • Social Search

    Fingerprint

    Dive into the research topics of 'EPISOSE: An Epistemology-Based Social Search Framework for Exploratory Information Seeking'. Together they form a unique fingerprint.

    Cite this