KNOWLEDGE SHARING IN COLLABORATIVE ENVIORNMENT USING ADVISOR SEARCH |
Author(s): |
Suvarna Hiwale |
Keywords: |
Fine grained knowledge sharing; Advisor Search, Infinite Hidden Markov Model, Collaborative environment, nonparametric generative model, d-iHMM model, Dirichlet process. |
Abstract |
In the collaborative environment members may try to get access of information on internet which is of similar type related to same domain. Therefore knowledge sharing becomes the important aspect. For example in an organization several department want ro buy business software for that they search on the internet then it will be beneficial for them to be connected and share a network for their studies. It reduces their time and efforts to get to know about the software. We have a framework with knowledge sharing in collaborative environment with the two steps: 1) web surfing data is clustered into tasks by a nonparametric generative model; (2) a new infinite Hidden Markov Model is developed to mine fine grained aspects in each task. Finally, the classic expert search method is applied to the mined results to find proper advisor for knowledge sharing |
Other Details |
Paper ID: IJSARTV Published in: Volume : 4, Issue : 1 Publication Date: 1/18/2018 |
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