There is great interest in exploiting the opportunity provided by cloud computing platforms
for large-scale analytics. Among these platforms, Apache Spark is growing in popularity for …

Due to the growing need to process large graph and network datasets created by modern
applications, recent years have witnessed a surging interest in developing big graph …

A very desirable Datalog extension investigated by many researchers in the last 30 years
consists in allowing the use of the basic SQL aggregates min, max, count and sum in …

Extending RDBMS technology to achieve performance and scalability for queries that are
much more powerful than those of SQL-2 has been the goal of deductive database research …

Multi-core and highly connected architectures have become ubiquitous, and this has
brought renewed interest in language-based approaches to the exploitation of parallelism …

Abstract Answer Set Programming (ASP) has become, in recent years, the paradigm of
choice for the logic programming community and for a wide variety of application domains …

BigDatalog is an extension of Datalog that achieves performance and scalability on both
Apache Spark and multicore systems to the point that its graph analytics outperform those …

A large class of traditional graph and data mining algorithms can be concisely expressed in
Datalog, and other Logic-based languages, once aggregates are allowed in recursion. In …

We introduce a novel query optimization method based on pushing extrema and other
integrity constraints into recursion. This optimization produces an efficient operational …

The growing importance of data science applications has motivated great research interest
in powerful languages and scalable systems for supporting advanced analytics on massive …