Enhancing Interaction with Data Lakes Using Digital Twins and Semantic Blueprints

Spyros Loizou, Michalis Pingos, Andreas Andreou

2024

Abstract

Advanced analytical techniques and sophisticated decision-making strategies are imperative for handling extensive volumes of data. As the quantity, diversity, and speed of data increase, there is a growing lack of confidence in the analytics process and resulting decisions. Despite recent advancements, such as metadata mechanisms in Big Data Processing and Systems of Deep Insight, effectively managing the vast and varied data from diverse sources remains a complex and unresolved challenge. Aiming to enhance interaction with Data Lakes, this paper introduces a framework based on a specialized semantic enrichment mechanism centred around data blueprints. The proposed framework takes into account unique characteristics of the data, guiding the process of locating sources and retrieving data from Data Lakes. More importantly, it facilitates end-user interaction without the need for programming skills or database management techniques. This is performed using Digital Twin functionality which offers model-based simulations and data-driven decision support.

Paper Citation

in Harvard Style

Loizou S., Pingos M. and Andreou A. (2024). Enhancing Interaction with Data Lakes Using Digital Twins and Semantic Blueprints. In Proceedings of the 19th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE; ISBN 978-989-758-696-5, SciTePress, pages 353-361. DOI: 10.5220/0012620600003687

in Bibtex Style

@conference{enase24,
author={Spyros Loizou and Michalis Pingos and Andreas Andreou},
title={Enhancing Interaction with Data Lakes Using Digital Twins and Semantic Blueprints},
booktitle={Proceedings of the 19th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE},
year={2024},
pages={353-361},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012620600003687},
isbn={978-989-758-696-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE
TI - Enhancing Interaction with Data Lakes Using Digital Twins and Semantic Blueprints
SN - 978-989-758-696-5
AU - Loizou S.
AU - Pingos M.
AU - Andreou A.
PY - 2024
SP - 353
EP - 361
DO - 10.5220/0012620600003687
PB - SciTePress