Time- and Space-Efficient Regular Path Queries

2022 IEEE 38TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2022)(2022)

引用 7|浏览5
暂无评分
摘要
We introduce a time- and space-efficient technique to solve regular path queries over labeled (RDF) graphs. We combine a bit-parallel simulation of the Glushkov automaton of the regular expression with the ring index introduced by Arroyuelo et al., exploiting its wavelet tree representation in order to efficiently reach relevant states of the product graph. Our algorithm is able to simultaneously process several automaton states, as well as several graph nodes/labels. Our experiments show that our approach uses 3-5 times less space than existing state-of-the-art systems, while generally outperforming them in query times (nearly 3 times faster than the next best, on average).
更多
查看译文
关键词
Regular path queries, Glushkov automaton, ring index, succinct data structures
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要