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Practical Study of Deterministic Regular Expressions from Large-scale XML and Schema Data by Li, Yeting; Chu, Xinyu; Mou, Xiaoying; Dong, Chunmei; Chen, Haiming is a scholarly article available to read on EtoBox.

What is Practical Study of Deterministic Regular Expressions from Large-scale XML and Schema Data about?

Regular expressions are a fundamental concept in computer science and widely used in various applications. In this paper we focused on deterministic regular expressions (DREs). Considering that researchers didn't have large datasets as evidence before, we first harvested a large corpus of real data from the Web then conducted a practical study to investigate the usage of DREs. One feature of our work is that the data set is sufficiently large compared with previous work, which is obtained using several data collection strategies we proposed. The results show more than 98\% of expressions in Relax NG are DRE, and more than 56\% of expressions from RegExLib are DRE, while both Relax NG and RegExLib do not have the determinism constraint. These observations indicate that DREs are commonly used in practice. The results also show further study of subclasses of DREs is necessary. As far as we know, we are the first to analyze the determinism and the subclasses of DREs of Relax NG and RegExLib, and give these results. Furthermore, we give some discussions and applications of the data set. We obtain a DRE data set from the original data, which will be useful in practice and it has value in

Author

Li, Yeting; Chu, Xinyu; Mou, Xiaoying; Dong, Chunmei; Chen, Haiming

Published

2018

Language

EN