Facilitating Collaboration and Information Retrieval: Collaborative Traces Based SWOT Analysis and Implications
In a web-based Collaborative Working Environment (CWE), people’s activities are principally concentrated in the group shared work space. Any collaborative interactions could leave a series of collaborative traces. Based on our proposed concept Collaborati
- PDF / 365,335 Bytes
- 14 Pages / 439.37 x 666.142 pts Page_size
- 26 Downloads / 158 Views
Facilitating Collaboration and Information Retrieval: Collaborative Traces Based SWOT Analysis and Implications Qiang Li, Marie-Hélène Abel and Jean-Paul A. Barthès
Abstract In a web-based Collaborative Working Environment (CWE), people’s activities are principally concentrated in the group shared work space. Any collaborative interactions could leave a series of collaborative traces. Based on our proposed concept Collaborative Trace and the corresponding Model, this chapter addresses the issue related to exploit and reuse the collaborative traces in consideration of supporting the group collaboration work in different aspects. In this process, obviously, some complex filters are required to extract more potential information both from the trace set and the data base. They can be defined by the rules according to the practical collaboration object and the application formalism. Furthermore, a general traces exploitation framework is introduced and implemented in CWE with a comprehensive case: the traces based SWOT Analysis. Keywords Collaborative working environment · Collaborative trace · Information retrieval · SWOT analysis · Knowledge engineering
1 Introduction In recent years, with the popularity of CSCW and the development of wireless techniques (tools), more and more web-based Collaborative Working Environments (CWE) have been designed and devoted to supporting both individual and group work in various areas, for example: research [26], business [8] or learning [24]. Normally, they involve several sub-systems: Document management systems, Electronic Q. Li (B) · M.-H. Abel · J.-P. A. Barthès UMR CNRS 7253 Heudiasyc Université de Technologie de Compiègne, Centre de Recherches de Royallieu, 60205 Compiègne, France e-mail: [email protected] M.-H. Abel e-mail: [email protected] J.-P. A. Barthès e-mail: [email protected] C. Lai et al. (eds.), Distributed Systems and Applications of Information Filtering and Retrieval, Studies in Computational Intelligence 515, DOI: 10.1007/978-3-642-40621-8_4, © Springer-Verlag Berlin Heidelberg 2014
65
66
Q. Li et al.
conferencing systems, WorkFlow systems, or Knowledge management systems. In such typical CWE, collaborators can exchange messages, edit wikis, share documents, or participate in video conferences. The corresponding interactions produce voluminous and heterogeneous traces. This is a critical issue in the domain of Collaborative Working Environment Design [7, 18, 20], Information Retrieval [1] and Knowledge (Experience) Management [18, 19]. Many researchers give their own definition of a trace. Generally, a trace is defined as a historical sequence of user actions collected in real time from the interactions with the system [7]. As a result, there exists three basic types of traces: Private Trace, Collaborative Trace and Collective Trace in CWE [20]. Since the essential demand of CWE is to support collaboration, the research on collaborative trace is crucial and imperative. In order to help further studies, we established a Collaborative Trace model (CT model)
Data Loading...
