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  • × author_ss:"Gelernter, J."
  • × language_ss:"e"
  1. Gelernter, J.: Image indexing in article component databases (2009) 0.00 
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    Abstract
    It is often necessary to compare data-rich charts, tables, diagrams, or drawings rather than the articles that contextualize that data. The objective of this research has been to create a database of non-textual components (here, maps) that are searchable independently of the articles from which they are taken, with the option to view the source articles. The method mines words from the articles that are near or associated with each component map, and these mined words become the basis of region, time, and subject indexing. The evaluation showed that automatic indexing of the component maps by these three facets works well, and indicates that a large-scale component database following this model is viable.
    Type
    a
  2. Gelernter, J.: Visual classification with information visualization (Infoviz) for digital library collections (2007) 0.00 
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    Abstract
    The purpose of information visualization (infoviz) is to show information graphically. That purpose is often obscured by infoviz designs that are not well understood in practice. This paper offers an overview of infoviz culled from the literature on applications of information visualization for the digital library: how the clustering works that creates the topics and those topics are represented graphically. It presents a taxonomy of infoviz designs in one, two and three dimensions. It is suggested that user evaluations of infoviz designs might be used to enrich infoviz theory and, whether through application of the theory or through application of user remarks, developers might improve infoviz interface comprehensibility. Design recommendations are made in an effort to improve weaknesses and capitalize on strengths of present interfaces in representing knowledge visually.
    Type
    a