NDLI: Discovery and visualization of expertise in a scientific community

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Discovery and visualization of expertise in a scientific community

Content Provider	ACM Digital Library
Author	Afzal, Muhammad Tanvir Latif, Atif Aslam, Salman Maurer, Hermann Saeed, Anwar Us Tochtermann, Klaus Sturm, Philipp Andrews, Keith
Abstract	In numerous contexts and environments, it is necessary to identify and assign (potential) experts to subject fields. In the context of an academic journal for computer science (J.UCS), papers and reviewers are classified using the ACM classification scheme. This paper describes a system to identify and present potential reviewers for each category from the entire body of paper's authors. The topical classification hierarchy is visualized as a hyperbolic tree and currently assigned reviewers are listed for a selected node (computer science category). In addition, a spiral visualization is used to overlay a ranked list of further potential reviewers (high-profile authors) around the currently selected category. This new interface eases the task of journal editors in finding and assigning reviewers. The system is also useful for users who want to find research collaborators in specific research areas.
Starting Page	1
Ending Page	6
Page Count	6
File Format	PDF
ISBN	9781605586427
DOI	10.1145/1838002.1838051
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-12-16
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Expertise finder User interface Hyperbolic J.ucs Acm classification scheme Reviewers Spiral
Content Type	Text
Resource Type	Article

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