Big Data Systems (BDSs) are an emerging class of scalable software technologies whereby
massive amounts of heterogeneous data are gathered from multiple sources, managed …

Since the late 1970s, relational database technology has been adopted by most
organizations to store their essential data. However, nowadays, the needs of these …

Data lakes are becoming increasingly prevalent for Big Data management and data
analytics. In contrast to traditional 'schema-on-write'approaches such as data warehouses …

Ontological queries are evaluated against a knowledge base consisting of an extensional
database and an ontology (ie, a set of logical assertions and constraints that derive new …

Many programs that interact with a database need to undergo schema refactoring several
times during their life cycle. Since this process typically requires making significant changes …

We introduce end-to-end support of co-existing schema versions within one database. While
it is state of the art to run multiple versions of a continuously developed application …

This paper addresses the problem of verifying equivalence between a pair of programs that
operate over databases with different schemas. This problem is particularly important in the …

This research delves into the contemporary utilization of digital technology within the context
of the material cultural heritage associated with traditional Chinese furniture. Digital …

Timely and cost-effective analytics over" big data" has emerged as a key ingredient for
success in many businesses, scientific and engineering disciplines, and government …

Since executing a smart contract on the Ethereum blockchain costs money (measured in
gas), smart contract developers spend significant effort in reducing gas usage. In this paper …