Browsing by Author "Hu, B."

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    The effect of shock loads on SAF bioreactors for sewage treatment works.
    (Elsevier, 2010) Hu, B.; Wheatley, Andrew; Ishtchenko, V.; Huddersman, Katherine
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    Facilitating experience reuse: towards a task_based approach
    (Springer, Berlin, Heidelberg, 2010-06-22) Wang, H.; Patterson, D.; Hu, B.; Chen, Liming; Du, Y.
    This paper proposes a task-based approach to facilitate experience reuse in knowledge-intensive work environments, such as the domain of Technical Support. We first present a real-world motivating scenario, product technical support in a global IT enterprise, by studying of which key characteristics of the application domain and user requirements are drawn and analysed. We then develop the associated architecture for enabling the work experience reuse process to address the issues identified from the motivating scenario. Central to the approach is the task ontology that seamlessly integrates different components of the architecture. Work experience reuse amounts to the discovery and retrieval of task instances. In order to compare task instances, we introduce the dynamic weighted task similarity measure that is able to tuning similarity value against the dynamically changing task contextual information. A case study has been carried out to evaluate the proposed approach.
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    Utilising Task-Patterns in Organisational Process Knowledge Sharing
    (Springer, Berlin, Heidelberg, 2009-12-06) Witschel, H.; Riss, U.V.; Chen, Liming; Du, Y.; Hu, B.
    Pattern based task management has been proposed as a promising approach to work experience reuse in knowledge intensive work environments. This paper inspects the need of organisational work experience sharing and reuse in the context of a real-life scenario based on use case studies. We developed a task pattern management system that supports process knowledge externalisation-internalisation. The system brings together task management related concepts and semantic technologies that materialise the former through a variety of semantic enhanced measures. Case studies were carried out for evaluating the proposed approach and also for drawing inspiration for future development.