Recursion in SPARQL

Author:

Reutter Juan1,Soto Adrián2,Vrgoč Domagoj3

Affiliation:

1. Departamento de Ciencia de la Computación, Pontificia Universidad Católica de Chile and IMFD Chile, Chile. E-mail: jreutter@ing.puc.cl

2. Faculty of Engineering and Sciences Universidad Adolfo Ibáñez, Data Observatory Foundation and IMFD Chile, Chile. E-mail: adrian.soto@uai.cl

3. Instituto de Ingeniería Matemática y Computacional, Pontificia Universidad Católica de Chile and IMFD Chile, Chile. E-mail: dvrgoc@ing.puc.cl

Abstract

The need for recursive queries in the Semantic Web setting is becoming more and more apparent with the emergence of datasets where different pieces of information are connected by complicated patterns. This was acknowledged by the W3C committee by the inclusion of property paths in the SPARQL standard. However, as more data becomes available, it is becoming clear that property paths alone are not enough to capture all recursive queries that the users are interested in, and the literature has already proposed several extensions to allow searching for more complex patterns. We propose a rather different, but simpler approach: add a general purpose recursion operator directly to SPARQL. In this paper we provide a formal syntax and semantics for this proposal, study its theoretical properties, and develop algorithms for evaluating it in practical scenarios. We also show how to implement this extension as a plug-in on top of existing systems, and test its performance on several synthetic and real world datasets, ranging from small graphs, up to the entire Wikidata database.

Publisher

IOS Press

Subject

Computer Networks and Communications,Computer Science Applications,Information Systems

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3