Abstract
The task of knowledge-gathering through an Information System has become increasingly challenging, due to the multitude of activities that are being facilitated through the system. A user-centric approach is presented in this paper where various activities executed by a user, for a knowledge-gathering task, are mapped to certain cognitive states in our model and the transitions between those states are used to indicate the progress made by the user. We propose a socio-contextual filtering algorithm for discovering similar tasks that were executed by other users and claim that such a socio-contextually related task would help in reducing the cognitive load, efforts and the time required for a user, naïve to a given knowledge gathering task. We demonstrate this through the fewer number of state transitions that occur in our model for a guided user.
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Rajendran, B. (2008). Socio-contextual Filters for Discovering Similar Knowledge-Gathering Tasks in Generic Information Systems. In: Yang, C.C., et al. Intelligence and Security Informatics. ISI 2008. Lecture Notes in Computer Science, vol 5075. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69304-8_38
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DOI: https://doi.org/10.1007/978-3-540-69304-8_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69136-5
Online ISBN: 978-3-540-69304-8
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