Provenance refers to any information describing the production process of an end product,
which can be anything from a piece of digital data to a physical object. While this survey …

Data provenance has evolved from a niche topic to a mainstream area of research in
databases and other research communities. This article gives a comprehensive introduction …

Research into data provenance has been active for almost twenty years. What has it
delivered and where will it go next? What practical impact has it had and what might it have …

Provenance has been studied extensively to explain existing and missing results for many
applications while focusing on scalability and usability challenges. Recently, techniques that …

When analyzing large datasets, analysts are often interested in the explanations for
unexpected results produced by their queries. In this work, we focus on aggregate SQL …

Why and why-not provenance have been studied extensively in recent years. However, why-
not provenance, and to a lesser degree why provenance, can be very large resulting in …

In many data analysis applications there is a need to explain why a surprising or interesting
result was produced by a query. Previous approaches to explaining results have directly or …

With the proliferation of geo-textual objects on the web, extensive efforts have been devoted
to improving the efficiency of top-k spatial keyword queries in different settings. However …

Provenance and intervention-based techniques have been used to explain surprisingly high
or low outcomes of aggregation queries. However, such techniques may miss interesting …

Humans reason about the world around them by seeking to understand why and how
something occurs. The same principle extends to the technology that so many of human …