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 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.
Section 3 and further are a slightly revised reprint under permission from K-CAP’09: Proc. of the 5th International Conference on Knowledge Capture. ©ACM (2009). doi http://doi.acm.org/10.1145/1597735.1597750. The revisions are based on the very detailed and insightful comments that we received from an anonymous reviewer during the preparation of this volume.
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Notes
- 1.
One might want to introduce additional projection functions such as C(O) to extract just the set of all concepts {c 1,c 2,…} and similarly for the set of all instances {i 1,i 2,…}. Such additional projection functions would make some of the formalisations that follow more elegant (and in some places even more correct).
- 2.
Please note we do not intend to present a complete list of tasks but the most prominent ones.
- 3.
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van Harmelen, F., ten Teije, A., Wache, H. (2011). Knowledge Engineering Rediscovered: Towards Reasoning Patterns for the Semantic Web. In: Fensel, D. (eds) Foundations for the Web of Information and Services. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19797-0_4
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