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Collaborative review and analysis of science literature

  • Author / Creator
    Bayat, Samaneh
  • Scientific literature is constantly being reviewed and critically analyzed by researchers, individually or collaboratively. Collaborative reviewing enables receiving multiple perspectives on the content and extending ideas over each other. Existing collaborative-review tools do not effectively support collection and retrieving of reviews. We identify requirements for a system that enables the community of researchers reuse the reviews, receive comprehensive reports of existing reviews, perform incremental reviewing, and cross reference reviews through content or reviewers. We introduce CoRAL (Collaborative Review and Analysis of Literature) to support comprehensive collaborative reviewing and encourage publicly accessible reviews. CoRAL provides an API for collecting and analyzing a universal collection of reviews. Two other components of CoRAL, the Reporter and the Viewer, enable users to enter and collect context-aware reviews and to generate multi-dimensional reports about them. CoRAL's architecture is open for extension to various usage scenarios and for integration with other reviewing tools.

  • Subjects / Keywords
  • Graduation date
    2011-11
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R3F32P
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Master's
  • Department
    • Department of Computing Science
  • Supervisor / co-supervisor and their department(s)
    • Stroulia, Eleni (Computing Science)
  • Examining committee members and their departments
    • Rathi, Dinesh (Library and Information Studies)
    • Wong, Ken (Computing Science)