Abstract
This paper puts forward a task-driven knowledge reuse framework for complex product design process. Domain ontology is used in the framework, which is fundamental for customization of the systems developed under this framework. The task representation model, as part of the domain ontology, is discussed in this paper; then a mechanism of sharing knowledge among instances of the same task class or between tasks which have some special relationships is discussed. The algorithm for generating knowledge learning schedule is also given based on the task relationship and the dependency of knowledge items. Through this framework, the task instances containing historical experiences of input and output can be stored and retrieved seamlessly during the execution of tasks without manual efforts.
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Guo, J., Liu, X., Wang, Y. (2011). An Ontology-Based Task-Driven Knowledge Reuse Framework for Product Design Process. In: Wang, Y., Li, T. (eds) Knowledge Engineering and Management. Advances in Intelligent and Soft Computing, vol 123. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25661-5_42
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DOI: https://doi.org/10.1007/978-3-642-25661-5_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25660-8
Online ISBN: 978-3-642-25661-5
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