资源描述框架(英语:Resource Description Framework,缩写为RDF),是万维网联盟(W3C)提出的一组标记语言的技术规范,以便更为丰富地描述和表达网络资源的内容与结构。

VIP内容

讲座题目

可扩展可持续知识图谱构建:Scalable construction of sustainable knowledge bases

讲座内容

在工业中采用语义Web技术的一个主要障碍是构建可持续的知识库;领域专家和终端用户常常发现语义Web语言和工具很难使用。Reasonable Ontology Templates (OTTR) 是一种语言和框架,允许对RDF/OWL上的建模模式进行简洁的表示和实例化。它旨在满足领域专家、拓扑工程师和数据管理人员在创建和维护高质量、可持续知识库的过程中的需求和专长。本教程适用于渴望在工作中有效地使用建模模式的语义web从业者和拓扑工程师,也适用于业界的信息管理人员。

讲座嘉宾

Martin G.Skjæveland是奥斯陆大学和Sirius可伸缩数据访问中心的研究员,也是合理本体模板的主要开发人员。

Melinda Hodkiewicz,西澳大学教授,是一名从事多学科项目的工程学者,旨在改进维护、资产管理和安全实践。她目前是英国艾伦图灵研究所的访问学者,积极参与维护记录的本体论和自然语言处理的开发。

Leif Harald Karlsen ,奥斯陆大学的高级讲师。他之前曾在天狼星可扩展数据访问中心担任总工程师,全职致力于OTTR的实现。

Daniel P.Lupp,是奥斯陆大学(University of Oslo)的博士后研究员,致力于研究在本体规范和维护中使用OTTR的最佳实践方法。

成为VIP会员查看完整内容
0
36

最新论文

Knowledge graphs have emerged as expressive data structures for Web data. Knowledge graph potential and the demand for ecosystems to facilitate their creation, curation, and understanding, is testified in diverse domains, e.g., biomedicine. The Shapes Constraint Language (SHACL) is the W3C recommendation language for integrity constraints over RDF knowledge graphs. Enabling quality assements of knowledge graphs, SHACL is rapidly gaining attention in real-world scenarios. SHACL models integrity constraints as a network of shapes, where a shape contains the constraints to be fullfiled by the same entities. The validation of a SHACL shape schema can face the issue of tractability during validation. To facilitate full adoption, efficient computational methods are required. We present Trav-SHACL, a SHACL engine capable of planning the traversal and execution of a shape schema in a way that invalid entities are detected early and needless validations are minimized. Trav-SHACL reorders the shapes in a shape schema for efficient validation and rewrites target and constraint queries for the fast detection of invalid entities. Trav-SHACL is empirically evaluated on 27 testbeds executed against knowledge graphs of up to 34M triples. Our experimental results suggest that Trav-SHACL exhibits high performance gradually and reduces validation time by a factor of up to 28.93 compared to the state of the art.

0
0
下载
预览
Top