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ShareAlike您的数据:语义Web的自引用使用策略

ShareAlike Your data: Self-referential usage policies for the semantic web
课程网址: http://videolectures.net/iswc2011_kroetzsch_data/  
主讲教师: Markus Krötzsch
开课单位: 卡尔斯鲁厄理工学院
开课时间: 2011-11-25
课程语种: 英语
中文简介:
许多形式的策略,许可条款和相关条件与Web数据和服务相关联。促进这种内容的重用和重新组合的自然目标是将使用策略建模为数据的一部分,以便能够进行交换和自动处理。该paperthus提出了一种具体的策略建模语言。一个特别困难的是自己的引用政策,例如Creative Commons ShareAlike,它要求在某些许可下以相同的权限和要求发布所得到的内容。我们提出了一个通用的语义框架来评估这样的递归声明,表明它具有理想的形式属性,并解释了如何使用现有工具评估。然后,我们展示了我们的方法与OWL DL和Datalog兼容,并说明了如何在这些语言中具体模拟自引用策略以获得所需的结论。
课程简介: Numerous forms of policies, licensing terms, and related conditions are associated with Web data and services. A natural goal for facilitating the reuse and re-combination of such content is to model usage policies as part of the data so as to enable their exchange and automated processing. This paper thus proposes a concrete policy modelling language. A particular difficulty are self-referential policies such as Creative Commons ShareAlike, that mandate that derived content is published under some license with the same permissions and requirements. We present a general semantic framework for evaluating such recursive statements, show that it has desirable formal properties, and explain how it can be evaluated using existing tools. We then show that our approach is compatible with both OWL DL and Datalog, and illustrate how one can concretely model self-referential policies in these languages to obtain desired conclusions.
关 键 词: Web数据; 语义框架; 递归声明
课程来源: 视频讲座网
最后编审: 2019-05-05:lxf
阅读次数: 12