Knowledge Engineering Rediscovered: Towards reasoning Patterns for the Semantic Web
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2009
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04B - Conference paper
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Noy, Natasha
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K-CAP '09: Proceedings of the fifth international conference on Knowledge capture
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81-88
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New York City
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Abstract
The extensive work on Knowledge Engineering in the 1990s has resulted in a systematic analysis of task-types, and the corresponding problem solving methods that can be deployed for different types of tasks. That analysis was the basis for a sound and widely accepted methodology for building knowledge-based systems, and has made it is possible to build libraries of reusable models, methods and code.
In this paper, we make a first attempt at a similar analysis for Semantic Web applications. We will show that it is possible to identify a relatively small number of task-types, and that, somewhat surprisingly, a large set of Semantic Web applications can be described in this typology. Secondly, we show that it is possible to decompose these task-types into a small number of primitive (atomic) inference steps. We give semi-formal definitions for both the task-types and the primitive inference steps that we identify. We substantiate our claim that our task-types are sufficient to cover the vast majority of Semantic Web applications by showing that all entries of the Semantic Web Challenges of the last 3 years
can be classified in these task-types.
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English
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Published
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Citation
Van Harmelen, F., Wache, H., & Ten Teije, A. (2009). Knowledge Engineering Rediscovered: Towards reasoning Patterns for the Semantic Web. In N. Noy (Ed.), K-CAP ’09: Proceedings of the fifth international conference on Knowledge capture (pp. 81–88). http://hdl.handle.net/11654/8815