图 书 馆
基于众源语义注释的推理，以便于文化遗产领域中三维人工制品的编目Reasoning on crowd-sourced semantic annotations to facilitate cataloguing of 3D artefacts in the cultural heritage domain |
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| 课程网址: | http://videolectures.net/iswc2013_hunter_cataloguing_artefacts/ |
| 主讲教师: | Jane Hunter |
| 开课单位: | 昆士兰大学 |
| 开课时间: | 2013-11-28 |
| 课程语种: | 英语 |
| 中文简介: |  3D语义注释（3DSA）系统通过利用人群来源的语义注释，加快了文化遗产领域中3D数字替代物的分类。更具体地说，3DSA系统通过在社区生成的注释以及低级形状和大小属性中应用基于规则的推理，来生成3D对象的高级分类。本文介绍了3DSA系统的特殊用途-对希腊陶器进行分类。它还描述了我们基于规则的推理的新颖方法，该方法以从马尔可夫逻辑网络启发的概念为模型。与传统的基于规则的推理相比，我们对这种方法的评估证明了其效率，准确性和多功能性。 |
| 课程简介: | The 3D Semantic Annotation (3DSA) system expedites the classification of 3D digital surrogates from the cultural heritage domain, by leveraging crowd-sourced semantic annotations. More specifically, the 3DSA system generates high-level classifications of 3D objects by applying rule-based reasoning across community-generated annotations and low-level shape and size attributes. This paper describes a particular use of the 3DSA system – cataloguing Greek pottery. It also describes our novel approach to rule-based reasoning that is modelled on concepts inspired from Markov logic networks. Our evaluation of this approach demonstrates its efficiency, accuracy and versatility, compared to classical rule-based reasoning. |
| 关 键 词: | 语义注释; 逻辑网络 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2020-12-29：zyk |
| 最后编审: | 2020-12-29：zyk |
| 阅读次数: | 49 |