期刊名称：Bulletin of the Technical Committee on Data Engineering
出版年度：2018
卷号：41
期号：1
页码：2
出版社：IEEE Computer Society
摘要：Over the past years there has been a growing recognition of the importance of provenance in data management.Besides it traditional use for query results explanations, new applications of provenance range from query opti-mization, to distributed data management, human-machine interaction, and experiments reproducibility. In thisissue, we have a slate of very interesting articles discussing the different roles of provenance in informationmanagement in a variety of domains.We start with “Provenance for non-experts”, Daniel Deutch, Nave Frost and Amir Gilad. The paper con-siders the flourish of data-intensive systems that are geared towards direct use by non-experts, such as NaturalLanguage question answering systems and query-by-example frameworks. It highlights the importance of in-corporating provenance in building such user interfaces.The second paper, “Provenance and the Different Flavors of Reproducibility”, Juliana Freire and FernandoSeabra Chirigati, considers the important problem of experiments reproducibility. It provides an overview of thedifferent types of provenance and how they influence reproducibility. The goal here is to help researchers findthe most appropriate provenance capture for their experiment, based on the level of reproducibility they need toattain.
