Understanding the differences and overlaps of users' knowledge is important in systems that support intellectual collaboration. Therefore, it is desirable to capture and use community-relevant contexts such as social network structures as well as conventional contexts such as location, time, and presence. This paper describes a community mapping tool that provides context-aware services based on multiple network structures to support academic collaboration among researchers, and discusses the possibilities of novel context-aware services for supporting intellectual collaboration.
|Translated title of the contribution
|Supporting Intellectual Collaboration Using Network Context
|Number of pages
|IEICE technical report
|Published - Jul 7 2011