Bash Datalog: Answering Datalog Queries with Unix Shell Commands
Lecture Notes in Computer Science(2018)
摘要
Dealing with large tabular datasets often requires extensive preprocessing. This preprocessing happens only once, so that loading and indexing the data in a database or triple store may be an overkill. In this paper, we present an approach that allows preprocessing large tabular data in Datalog – without indexing the data. The Datalog query is translated to Unix Bash and can be executed in a shell. Our experiments show that, for the use case of data preprocessing, our approach is competitive with state-of-the-art systems in terms of scalability and speed, while at the same time requiring only a Bash shell on a Unix system.
更多查看译文
关键词
Lehigh University Benchmark (LUBM),Datalog Program,MonetDB,Stardog,Bash Command
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