Abstract
Web-based Knowledge Gathering (WKG) is a specialized and complex information seeking task carried out by many users on the web, for their various learning, and decision-making requirements. We construct a contextual semantic structure by observing the actions of the users involved in WKG task, in order to gain an understanding of their task and requirement. We also build a knowledge warehouse in the form of a master Semantic Link Network (SLX) that accommodates and assimilates all the contextual semantic structures. This master SLX, which is a socio-contextual network, is then mined to provide contextual inputs to the current users through their agents. We validated our approach through experiments and analyzed the benefits to the users in terms of resource explorations and the time saved. The results are positive enough to motivate us to implement in a larger scale.
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Rajendran, B., Kombiah, I. (2010). Socio-contextual Network Mining for User Assistance in Web-based Knowledge Gathering Tasks. In: Memon, N., Alhajj, R. (eds) From Sociology to Computing in Social Networks. Springer, Vienna. https://doi.org/10.1007/978-3-7091-0294-7_5
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DOI: https://doi.org/10.1007/978-3-7091-0294-7_5
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