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A collaboration centric approach for building the semantic knowledge network for knowledge advantage machine

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Abstract

Knowledge advantage machine (KaM) is an advanced system for knowledge exploitation. In this paper, we propose a Collaboration Centric Behavior Model, which helps one or more knowledge-workers to discover and link useful knowledge objects dubbed JANs into a semantic knowledge network. The JAN is constructed as a semantic web service to semantically present three categories of service behavior: expected service behavior that presents what requestor expects it to serve; actual service behavior that presents how it offers its service; and quality evaluation that presents whether its service behavior is consistent with requestor’s expectation by checking conformance. On the basis of the KaM architecture, we build a process model to implement to discovery a JAN and link different JANs as a personal knowledge network or a group knowledge network. This is illustrated using an academic research scenario. Experimental results show that the proposed method is feasible and effective.

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Acknowledgements

This research was supported by National Natural Science Foundation of China (No. 61472160). This work was supported by the Development and Reform Commission of Jilin Province (No. 2015Y041).

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Authors and Affiliations

  1. College of Computer Science and Technology, Jilin University, Changchun, China

    Ming Qu

  2. College of Electronic Science and Engineering, Jilin University, Changchun, China

    Ming Qu & Yuchun Chang

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  1. Ming Qu
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  2. Yuchun Chang
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Correspondence to Yuchun Chang.

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Qu, M., Chang, Y. A collaboration centric approach for building the semantic knowledge network for knowledge advantage machine. Cluster Comput 21, 1009–1022 (2018). https://doi.org/10.1007/s10586-017-1016-z

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