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An evaluation of semantic fisheye views for opportunistic search in an annotated image collection

Janecek, Paul ; Pu, Pearl

In: International Journal on Digital Libraries, 2005, vol. 5, no. 1, p. 42-56

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    Titre
    • An evaluation of semantic fisheye views for opportunistic search in an annotated image collection
    Auteur
    • Janecek, Paul. Human Computer Interaction Group, I&C-IFF, Swiss Federal Institute of Technology (EPFL), 1015, Lausanne, Switzerland
    • Pu, Pearl. Human Computer Interaction Group, I&C-IFF, Swiss Federal Institute of Technology (EPFL), 1015, Lausanne, Switzerland
    Type de document
    • Postprint
    Langue
    • Anglais
    Publié dans
    • International Journal on Digital Libraries, 2005, vol. 5, no. 1, p. 42-56. Springer Berlin Heidelberg; www.springer.de
    Autre version électronique
    Identifiant OAI-PMH
    • oai:doc.rero.ch:322522
    Summary
    Visual interfaces are potentially powerful tools for users to explore a representation of a collection and opportunistically discover information that will guide them toward relevant documents. Semantic fisheye views (SFEVs) are focus + context visualization techniques that manage visual complexity by selectively emphasizing and increasing the detail of information related to the user's focus and deemphasizing or filtering less important information. In this paper we describe a prototype for visualizing an annotated image collection and an experiment to compare the effectiveness of two distinctly different SFEVs for a complex opportunistic search task. The first SFEV calculates relevance based on keyword-content similarity and the second based on conceptual relationships between images derived using WordNet. The results of the experiment suggest that semantic-guided search is significantly more effective than similarity-guided search for discovering and using domain knowledge in a collection