图 书 馆
基于形式本体的统计关系学习Statistical Relational Learning with Formal Ontologies |
|
| 课程网址: | http://videolectures.net/ecmlpkdd09_rettinger_srl/ |
| 主讲教师: | Achim Rettinger |
| 开课单位: | 卡尔斯鲁厄理工学院 |
| 开课时间: | 2009-10-20 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We propose a learning approach for integrating formal knowledge into statistical inference by exploiting ontologies as a semantically rich and fully formal representation of prior knowledge. The logical constraints deduced from ontologies can be utilized to enhance and control the learning task by enforcing description logic satisfiability in a latent multi-relational graphical model. To demonstrate the feasibility of our approach we provide experiments using real world social network data in form of a SHOIN(D) ontology. The results illustrate two main practical advancements: First, entities and entity relationships can be analyzed via the latent model structure. Second, enforcing the ontological constraints guarantees that the learned model does not predict inconsistent relations. In our experiments, this leads to an improved predictive performance. |
| 关 键 词: | 先验知识; 形式知识; 统计推断 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-03-27：lxf |
| 阅读次数: | 50 |