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本体论和机器学习

Ontologies and Machine Learning
课程网址: http://videolectures.net/mmdss07_grobelnik_oml/  
主讲教师: Blaž Fortuna; Marko Grobelnik
开课单位: 约瑟夫·斯特凡学院
开课时间: 2007-11-26
课程语种: 英语
中文简介:
我们解决了从社会网络数据构建轻量级本体的问题。作为一个例子,我们使用了一个基于电子邮件通信的中型研究机构的社交网络。主要贡献是由五个主要步骤组成的体系结构,这些步骤使数据能够从给定的电子邮件事务记录转换为估计组织结构的本体。一旦有了一组稀疏向量,我们就可以将一种方法应用于在本体工具中实现的半自动化本体构建。实验和说明性评价表明,我们的方法是有用的,并适用于现实生活中的情况下,目标是建立基于沟通记录的社会结构模型。
课程简介: We address the problem of constructing light-weight ontology from social network data. As an example we use social network of a mid size research institution obtained based on e-mail communication. The main contribution is an architecture consisting from five major steps that enable transformation of the data from a given e-mail transactions recordings to an ontology estimating the structure of the organization. Once having a set of sparse vectors, we apply an approach to semi-automated ontology construction as implemented in the OntoGen tool. The experiments and illustrative evaluation show that our approach is useful and applicable in real life situations where the goal is to model social structures based on communication records.
关 键 词: 本体论; 本体估计; 稀疏向量; 半自动化
课程来源: 视频讲座网
最后编审: 2020-06-04:毛岱琦(课程编辑志愿者)
阅读次数: 60