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应用时间RDF：使用SPARQL高效地查询RDF数据]

Applied Temporal RDF: Efficient Temporal Querying of RDF Data with SPARQL
课程网址: http://videolectures.net/eswc09_tappolet_atre/  
主讲教师: Jonas Tappolet
开课单位: 苏黎世大学
开课时间: 2009-07-28
课程语种: 英语
中文简介:
许多应用程序按时“敏感”数据运行。这些数据中的一些仅对某些间隔有效（例如，作业分配，软件代码的版本），其他数据描述在某些时间点（例如，人的生日）发生的时间事件。直到最近，将时间纳入语义Web模型的唯一方法是作为数据类型属性。然而，时间RDF将时间视为保留时间语义的数据的附加维度。在本文中，我们提出了一种基于命名图的语法和存储格式来表示时间RDF。鉴于对先前存在的RDF语法的限制，我们的方法可以仅使用标准SPARQL语法执行任何时态查询。为方便起见，我们为时态查询引入了一个名为T SPARQL的速记格式，并展示了如何将T SPARQL查询转换为标准SPARQL。此外，我们表明，根据基础数据的性质，时间RDF方法通过消除冗余大大减少了三元组的数量，从而提高了处理和查询的性能。最后但并非最不重要的是，我们引入了一种新的索引方法，可以显着减少执行时间点查询所需的时间（例如，1月1日发生的事情）。
课程简介: Many applications operate on time-“sensitive” data. Some of these data are only valid for certain intervals (e.g., job-assignments, versions of software code), others describe temporal events that happened at certain points in time (e.g., a person’s birthday). Until recently, the only way to incorporate time into Semantic Web models was as a data type property. Temporal RDF, however, considers time as an additional dimension in data preserving the semantics of time. In this paper we present a syntax and storage format based on named graphs to express temporal RDF. Given the restriction to preexisting RDF-syntax, our approach can perform any temporal query using standard SPARQL syntax only. For convenience, we introduce a shorthand format called T-SPARQL for temporal queries and show how T-SPARQL queries can be translated to standard SPARQL. Additionally, we show that, depending on the underlying data's nature, the temporal RDF approach vastly reduces the number of triples by eliminating redundancies resulting in an increased performance for processing and querying. Last but not least, we introduce a new indexing approach method that can significantly reduce the time needed to execute time point queries (e.g., what happened on January 1st).
关 键 词: 语义Web; 数据类型; 命名图
课程来源: 视频讲座网
最后编审: 2019-04-13：lxf
阅读次数: 78

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