图 书 馆
预测OWL推理的可理解性Predicting the Understandability of OWL Inferences |
|
| 课程网址: | http://videolectures.net/eswc2013_power_owl_inferences/ |
| 主讲教师: | Richard Power |
| 开课单位: | 英国开放大学 |
| 开课时间: | 2013-07-08 |
| 课程语种: | 英语 |
| 中文简介: |  在本文中，我们描述了一种预测OWL推理的可理解性水平的方法。具体来说，我们提出了一个概率模型，用于基于对单个推理步骤的可理解性的度量来测量多步骤推理的可理解性。我们还提出了一项评估研究，确认我们的模型在OWL的两步推断中效果相对较好。该模型已用于我们的研究中，用于生成有关OWL本体的可理解的解释，以确定替代方案中最可理解的推论，并由此得出最终的解释。 |
| 课程简介: | In this paper, we describe a method for predicting the understandability level of inferences with OWL. Speci cally, we present a probabilistic model for measuring the understandability of a multiple step inference based on the measurement of the understandability of individual inference steps. We also present an evaluation study which con rms that our model works relatively well for two-step inferences with OWL. This model has been applied in our research on generating accessible explanations for an entailment of OWL ontologies, to determine the most understandable inference among alternatives, from which the nal explanation is generated. |
| 关 键 词: | OWL推理; 可访问性解释; 概率模型; 可理解性水平 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2021-05-12：zyk |
| 最后编审: | 2021-05-26：zyk |
| 阅读次数: | 42 |