使用基于XQuery的筛选的SPARQL
SPARQL with XQuery-based Filtering
摘要：
关联开放数据（LOD）已经在各个领域得到了广泛的应用，但是除了标准的LOD数据描述框架RDF之外，还有大量的各种格式的开放数据。当这些开放数据与URI相关联时，它们也可以连接到LOD中的实体。以文档为中心的XML数据是与LOD中的实体相联系的开放数据，作为这些实体的补充文档，将这些XML数据转换为RDF需要使用信息抽取、本体设计和利用人类先验知识进行本体映射等技术。为了在LOD中充分利用以文档为中心的XML数据，提出了一种基于SPARQL的RDF和XML数据的无缝访问方法。特别地，提出了对SPARQL的扩展XQueryFILTER，它使XQuery能够作为SPARQL中的过滤器。针对SPARQL和XQuery结合的高效查询处理问题，提出了一种基于数据库理论的查询优化方法。本文通过实际的实验验证了XQueryFILTER的有效性和优化效率。
英文摘要：
Linked Open Data (LOD) has been proliferated over various domains, however, there are still lots of open data in various format other than RDF, a standard data description framework in LOD. These open data can also be connected to entities in LOD when they are associated with URIs. Document-centric XML data are such open data that are connected with entities in LOD as supplemental documents for these entities, and to convert these XML data into RDF requires various techniques such as information extraction, ontology design and ontology mapping with human prior knowledge. To utilize document-centric XML data linked from entities in LOD, in this paper, a SPARQL-based seamless access method on RDF and XML data is proposed. In particular, an extension to SPARQL, XQueryFILTER, which enables XQuery as a filter in SPARQL is proposed. For efficient query processing of the combination of SPARQL and XQuery, a database theory-based query optimization is proposed. Real-world scenario-based experiments in this paper showcase that effectiveness of XQueryFILTER and efficiency of the optimization.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
