IVEA: an information visualization tool for personalized exploratory document collection analysis

  • Authors:

  • VinhTuan Thai;Siegfried Handschuh;Stefan Decker

  • Affiliations:

  • Digital Enterprise Research Institute, National University of Ireland, Galway;Digital Enterprise Research Institute, National University of Ireland, Galway;Digital Enterprise Research Institute, National University of Ireland, Galway

  • Venue:
  • ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
  • Year:
  • 2008

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Abstract

Knowledge work in many fields requires examining several aspects of a collection of documents to attain meaningful understanding that is not explicitly available. Despite recent advances in document corpus visualization research, there is still a lack of principled approaches which enable the users to personalize the exploratory analysis process. In this paper, we present IVEA (Information Visualization for Exploratory Document Collection Analysis), an innovative visualization tool which employs the PIMO (Personal Information Model) ontology to provide the knowledge workers with an interactive interface allowing them to browse for information in a personalized manner. Not only does the tool allow the users to integrate their interests into the exploration and analysis of a document collection, it also enables them to incrementally enrich their PIMO ontologies with new entities matching their evolving interests in the process, and thus benefiting the users not only in their future experiences with IVEA but also with other PIMO-based applications. The usability of the tool was preliminarily evaluated and the results were sufficiently encouraging to make it worthwhile to conduct a larger-scale usability study.