ContextGrid: A contextual mashup-based collaborative browsing system

Title
ContextGrid: A contextual mashup-based collaborative browsing system
Author(s)
정재은
Keywords
SOCIAL COLLABORATIONS; QUERY TRANSFORMATION; SEMANTIC WEB; SYNCHRONIZATION; NAVIGATION; AGENTS; WORK
Issue Date
201209
Publisher
SPRINGER
Citation
INFORMATION SYSTEMS FRONTIERS, v.14, no.4, pp.953 - 961
Abstract
Due to a large amount of resources (i.e., information and knowledge) available on world wide web, it has been more difficult for users to effectively find relevant web resources. Most of the current web browsing methods and systems have been investigated to apply adaptive approaches which can extract personal contexts (e.g., interests and preferences) of the users. In this paper, we propose a contextual mashup-based collaborative browsing (co-browsing) platform, called ContextGrid, for providing online users with various knowledge sharing services. Particularly, the proposed mashup scheme can integrate heterogeneous pieces of information collected by various Open APIs, and assist the users to decide which partners should be selected for mutual collaborations. In order to evaluate the proposed mashup-based method, we have implemented a co-browsing platform which can exchange bookmarks, and measured whether the contextual mashup scheme makes a meaningful influence on improving the performance of the co-browsing process with multiple users.
URI
http://hdl.handle.net/YU.REPOSITORY/27364http://dx.doi.org/10.1007/s10796-011-9315-z
ISSN
1387-3326
Appears in Collections:
공과대학 > 컴퓨터공학과 > Articles
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