Within data-driven artificial intelligence (AI) systems for industrial applications, ensuring the
reliability of the incoming data streams is an integral part of trustworthy decision-making. An …

Smart cities and information and communications technology is a rapidly growing field in
both research and real-world implementation, but it is one that is still new and with many …

Context-The exponential growth of data is becoming a significant concern. Managing this
data has become incredibly challenging, especially when dealing with various sources in …

In today's world, where vast amounts of data are generated and collected daily, and where
data heavily influence business, political, and societal decisions, it is crucial to evaluate the …

The widespread adoption of big data has ushered in a new era of data-driven decision-
making, transforming numerous industries and sectors. However, the efficacy of these …

Advent of big data has changed the way data-driven organizations collect, process and
analyses the data. However, considering how data is generated from heterogenous sources …

Evaluating complex information systems necessitates deep contextual knowledge of
technology, user needs, and quality. The quality evaluation challenges increase with the …

Accurate and dependable data is critical when making crucial business decisions. However,
verifying the accuracy of complex and extensive datasets can be both error-prone and time …

Real-time data quality assessment is crucial in processing big data across various
applications. Our previous work introduced BIGQA, a declarative solution based on ISO/IEC …

The advent of big data has ushered in a new era of opportunities across industries,
facilitating transformative insights and operational enhancements. However, the inherent …