Knowledge engineering rediscovered: towards reasoning patterns for the semantic web

. van Harmelen , F., ten Teije , A., & Wache, H. Gil, Y & Fridman, N, editors. Knowledge engineering rediscovered: towards reasoning patterns for the semantic web, pages 81–88. ACM, 2009.
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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 anal- ysis 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 analy- sis 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 ty- pology. Secondly, we show that it is possible to decom- pose these task-types into a small number of primitive (“atomic”) inference steps. We give semi-formal defini- tions 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 en- tries of the Semantic Web Challenges of the last 3 years can be classified in these task-types.

@inbook{76b03bd74ff44365a419e715fdd7a63d,
  title     = "Knowledge engineering rediscovered: towards reasoning patterns for the semantic web",
  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 anal- ysis 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 analy- sis 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 ty- pology. Secondly, we show that it is possible to decom- pose these task-types into a small number of primitive (“atomic”) inference steps. We give semi-formal defini- tions 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 en- tries of the Semantic Web Challenges of the last 3 years can be classified in these task-types.",
  author    = "{van Harmelen}, F.A.H. and {ten Teije}, A.C.M. and H. Wache",
  year      = "2009",
  isbn      = "9781605586588",
  pages     = "81--88",
  editor    = "Y Gil and N Fridman",
  booktitle = "Proceedings of the 5th International Conference on Knowledge Capture (K-CAP 2009)",
  publisher = "ACM",
}

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