RDF Packages: A Scheme for Efficient Reasoning and Querying over Large-Scale RDF Data
RDF Packages: A Scheme for Efficient Reasoning and Querying over Large-Scale RDF Data
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RDF 包：大规模 RDF 数据高效推理和查询的方案
DOI：
10.1108/17440081211241969
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
Hiroyuki Kitagawa
中科院分区：
文献类型：
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作者：
Shohei Ohsawa;Toshiyuki Amagasa;Hiroyuki Kitagawa
目的-本文的目的是提高大规模资源描述框架（RDF）数据的查询和推理以及查询的性能。在处理RDF（S）数据时，RDFS蕴涵通常会产生大量的额外三元组，这导致性能较差。为了处理大规模的RDF数据，重要的是要开发一个方案，使大型RDF数据的处理在一个有效的marty.Design/方法/approach-The作者提出了RDF包，这是一个空间有效的格式为RDF数据。在RDF包中，一组相同类的三元组或具有相同谓词的三元组被分组到名为Package的专用节点中。任何RDF数据都可以用RDF包来表示，反之亦然。发现使用RDF包可以显着减少RDF数据的大小，即使在RDFS蕴涵之后。作者在实验上评估了所提出的方案在三元组大小、推理速度和查询速度方面的性能。研究限制/含义-所提出的方案在处理RDF（S）数据时是有用的，但它需要进一步发展来处理本体语言，如OWL。独创性/价值-RDF包的一个重要特征是，当执行RDFS推理时，不需要修改推理规则或推理机;而其他相关方案需要修改推理规则或推理机。
Purpose–The purpose of this paper is to improve the performance of querying and reasoning and querying over large‐scale Resource Description Framework (RDF) data. When processing RDF(S) data, RDFS entailment is performed which often generates a large number of additional triples, which causes a poor performance. To deal with large‐scale RDF data, it is important to develop a scheme which enables the processing of large RDF data in an efficient manner.Design/methodology/approach–The authors propose RDF packages, which is a space efficient format for RDF data. In an RDF package, a set of triples of the same class or triples having the same predicate are grouped into a dedicated node named Package. Any RDF data can be represented using RDF packages, and vice versa.Findings–It is found that using RDF packages can significantly reduce the size of RDF data, even after RDFS entailment. The authors experimentally evaluate the performance of the proposed scheme in terms of triple size, reasoning speed, and querying speed.Research limitations/implications–The proposed scheme is useful in processing RDF(S) data, but it needs further development to deal with an ontological language such as OWL.Originality/value–An important feature of the RDF packages is that, when performing RDFS reasoning, there is no need to modify either reasoning rules or reasoning engine; while other related schemes require reasoning rules or reasoning engine to be modified.