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User-friendly temporal queries on historical knowledge bases

机译:用户友好的基于历史知识的时态查询

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DBpedia and other RFD-encoded Knowledge Bases (KB)s give users access to encyclopedic knowledge via SPARQL queries. As the world evolves, the KBs are updated, and the history of entities and their properties becomes of great interest. Thus, we need powerful tools and friendly interfaces to query histories and flash-back to the past. Here, we propose (i) a point-based temporal extension of SPARQL, called SPARQLT, which enables simple and concise expression of temporal queries, and (ii) an extension of Wikipedia Infoboxes to support user-friendly by-example temporal queries implemented by mapping them into SPARQLT. Our main-memory RDF-TX system supports such queries efficiently using Multi-Version B+ trees, compressed indexes, and query optimization techniques, which achieve performance and scalability, as demonstrated by experiments on historical datasets includingCliopediaderived from Wikipedia dumps. We finally discuss how provenance information can be used to add valid-time features to these transaction-time KBs.
机译:DBpedia和其他RFD编码的知识库(KB)使用户可以通过SPARQL查询访问百科知识。随着世界的发展,知识库也随之更新,并且实体及其属性的历史也引起了人们极大的兴趣。因此,我们需要强大的工具和友好的界面来查询历史记录并回溯到过去。在这里,我们提出(i)SPARQL的基于点的时间扩展,称为SPARQLT,它使时间查询的表达简洁明了,并且(ii)Wikipedia信息框的扩展以支持用户友好的示例性时间查询,该时间查询由将它们映射到SPARQLT。我们的主内存RDF-TX系统使用Multi-Version B +树,压缩索引和查询优化技术有效支持此类查询,这些查询可实现性能和可伸缩性,这是对历史数据集(包括来自Wikipedia转储的Cliopedia)进行的实验所证明的。最后,我们讨论如何使用出处信息将有效时间功能添加到这些事务时间KB。

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