]>
2020-02-26T17:32:35+00:00
Techreport1731
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Approximate reasoning for the Semantic Web is based on the idea of sacrificing soundness or completeness for a significant speed-up of reasoning. This is to be done in such a way that the number of introduced mistakes is at least outweighed by the obtained speed-up. When pursuing such approximate reasoning approaches, however, it is important to be critical not only about appropriate application domains, but also about the quality of the resulting approximate reasoning procedures. With different approximate reasoning algorithms discussed and developed in the literature, it needs to be clarified how these approaches can be compared, i.e. what it means that one approximate reasoning approach is better than some other. In this paper, we will formally define such a foundation for approximate reasoning research. We will clarify -- by means of notions from statistics -- how different approximate algorithms can be compared, and ground the most fundamental notions in the field formally. We will also exemplify what a corresponding statistical comparison of algorithms would look like.
1731
2008_1731_Rudolph_What_Is_Approxi_1.pdf
2008_1731_Rudolph_What_Is_Approxi_2.pdf
Institute AIFB, University of Karlsruhe
März
Sebastian Rudolph, Tuvshintur Tserendorj, Pascal Hitzler <br /> '''[[Techreport1731|What Is Approximate Reasoning?]]'''<br />''Institute AIFB, University of Karlsruhe'', Archiv Nummer 1731, März, 2008<br>([[Techreport1731|Details]])
Sebastian Rudolph, Tuvshintur Tserendorj, Pascal Hitzler <br /> '''[[Techreport1731/en|What Is Approximate Reasoning?]]'''<br />''Institute AIFB, University of Karlsruhe'', archiv number: 1731, März, 2008<br>([[Techreport1731/en|Details]])
Sebastian Rudolph, Tuvshintur Tserendorj, Pascal Hitzler: <br />What Is Approximate Reasoning?.<br />Institute AIFB, University of Karlsruhe, Archiv Nummer 1731, März 2008.
What Is Approximate Reasoning?
2008
2454466.5
2009-10-16T22:47:56Z
2455121.4499537
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