Nov 27, 2016 · There have been several studies regarding the performance prediction of ontologies. Kang et al. [10] investigated the hardness category ( ...
Abstract. Reasoner performance prediction of ontologies in OWL 2 lan- guage has been studied so far from different dimensions. One key aspect.
Our experiments show that the proposed metrics contribute to overall prediction accuracy for all ontologies in general without causing side-effects. Original ...
Our experiments show that the proposed metrics contribute to overall prediction accuracy for all ontologies in general without causing side-effects. Original ...
Reasoner performance prediction for ontologies in the OWL 2 language has been studied so far from different dimensions. One key aspect of these studies has ...
Apr 2, 2018 · In this paper, we introduce the notion of ABox intensity in the context of predicting reasoner performance and to improve the representativeness ...
Their experiments show that taking into account the intensity through the proposed metrics contributes to overall prediction accuracy for ABox intensive ...
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Their experiments show that taking into account the intensity through the proposed metrics contributes to overall prediction accuracy for ABox intensive ...
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How Can Reasoner Performance of ABox Intensive Ontologies Be ...
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Weshowthatourproposednewmetricsincreasetheaccuracyinpredictingtimeconsumption ofABoxintensiveontologyreasoning.Besides,wealso ...