DocumentCode :
3533938
Title :
genSpace: Exploring social networking metaphors for knowledge sharing and scientific collaborative work
Author :
Murphy, Christian ; Sheth, Swapneel ; Kaiser, Gail ; Wilcox, Lauren
Author_Institution :
Dept. of Comput. Sci., Columbia Univ., New York, NY
fYear :
2008
fDate :
15-16 Sept. 2008
Firstpage :
34
Lastpage :
41
Abstract :
Many collaborative applications, especially in scientific research, focus only on the sharing of tools or the sharing of data. We seek to introduce an approach to scientific collaboration that is based on the sharing of knowledge. We do this by automatically building organizational memory and enabling knowledge sharing by observing what users do with a particular tool or set of tools in the domain, through the addition of activity and usage monitoring facilities to standalone applications. Once this knowledge has been gathered, we apply social networking models to provide collaborative features to users, such as suggestions on tools to use, and automatically-generated sequences of actions based on past usage amongst the members of a social network or the entire community. In this work, we investigate social networking models as an approach to scientific knowledge sharing, and present an implementation called genSpace, which is built as an extension to the geWorkbench platform for computational biologists. Last, we discuss the approach from the viewpoint of social software engineering.
Keywords :
groupware; social networking (online); software engineering; automatically-generated sequences; genSpace; knowledge sharing; organizational memory; scientific collaborative work; social networking metaphors; social software engineering; Application software; Bioinformatics; Biological system modeling; Biology computing; Collaboration; Collaborative tools; Collaborative work; Computational biology; Computerized monitoring; Social network services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automated Software Engineering - Workshops, 2008. ASE Workshops 2008. 23rd IEEE/ACM International Conference on
Conference_Location :
L´Aquila
Print_ISBN :
978-1-4244-2776-5
Type :
conf
DOI :
10.1109/ASEW.2008.4686308
Filename :
4686308
Link To Document :
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