IKNOW: A Tool to Assist and Study the Creation, Maintenance, and Dissolution of Knowledge Networks

  • Authors:
  • Noshir Contractor;Daniel Zink;Michael Chan

  • Affiliations:
  • -;-;-

  • Venue:
  • Community Computing and Support Systems, Social Interaction in Networked Communities [the book is based on the Kyoto Meeting on Social Interaction and Communityware, held in Kyoto, Japan, in June 1998]
  • Year:
  • 1998

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Abstract

The introduction of new communication and information technologies in work communities has primarily been used to create new channels of communication and/or reduce the cost of communication among members in the workplace. Ironically, the prevasiveness of electronic communication media in virtual work communities make it increasingly difficult for individuals to discern social structures. Fortunately, information technologies that are responsible for triggering this problem can also be used to overcome these obstacles. Because information transacted over electronic media such as the Web can be stored in digital form, a new generation of software called "collaborative filters" or "communityware" (Contractor, O'Keefe, & Jones, 1997; Kautz, selman, & Shah, 1997) can be used to make visible the work communities' virtual social structure. One such tool, IKNOW (Inquiring Knowledge Networks On the Web; http://iknow.spcomm.uiue.edu/), has been designed by a team of UIUC researchers to assist individuals to search the arganization's databased to automatically answer questions about the organization's knowledge network, that is, "Who knows what?" as well as questions about the organization's cognitive knowledge networks, that is, "Who knows who know what?" within the organization. Unlike traditional web search engines that help an individual search for content on the web, tools such as IKNOW search for content and contacts (direct and indirect). In addition to being instantly beneficial to users, they also provide the researcher with an opportunity to unobtrusively and reliably study the influence of communityware on the co-evolution of knowledge networks.