Over the past years, there has been a resurgence of interest in Datalog due to its superior
ability of expressing applications that require recursive computations. However, in addition …

With an escalating arms race to adopt machine learning (ML) in diverse application
domains, there is an urgent need to support declarative machine learning over distributed …

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

In the past, the semantic issues raised by the non-monotonic nature of aggregates often
prevented their use in the recursive statements of logic programs and deductive databases …

The use of aggregates in recursion enables efficient and scalable support for a wide range
of BigData algorithms, including those used in graph applications, KDD applications, and …

Recent advances on query languages (QLs) and DBMS suggest that their traditional role in
application development can and should be extended dramatically in many big-data …

Abstract In the Big Data era, there is a resurgence of interest in using Datalog to express
data analysis applications that require recursive computations. However, the use of non …

In the past, the semantic issues raised by the non-monotonic nature of aggregates often
prevented their use in the recursive statements of logic programs and deductive databases …