MiReBooks – Mixed Reality Lehrbücher für das Bergbau-Studium

Bertignoll, Hanno; Ortega, Manuel; Feiel, Susanne; Moser, Peter

doi:10.1007/s00501-019-0842-0

Cited by 5 publications

(2 citation statements)

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“…Data lakes are designed to store raw, unstructured, and semi-structured data, providing a flexible environment for data scientists to perform exploratory analysis and machine learning model training (Cai et al, 2023). In contrast, data warehouses store structured data optimized for query performance and business intelligence reporting (Bertignoll et al, 2019). These storage solutions must be integrated seamlessly to facilitate efficient data retrieval and analysis.…”

Section: Technological Infrastructurementioning

confidence: 99%

A Review of Utilizing Natural Language Processing and Ai for Advanced Data Visualization in Real-Time Analytics

Uddin

2024

GMJ

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This review explores the integration of Natural Language Processing (NLP) and Artificial Intelligence (AI) in enhancing data visualization for real-time analytics. In an era characterized by the exponential growth of data, traditional static visualizations are increasingly inadequate for meeting the demands of real-time decision-making. NLP and AI offer sophisticated tools to dynamically interpret and visualize data, turning vast amounts of raw information into actionable insights across various domains. This paper synthesizes current research, methodologies, and applications of NLP and AI in data visualization, highlighting key advancements such as enhanced data interpretability, real-time data processing capabilities, and improved user interaction through natural language queries and interactive elements. It also addresses the challenges and limitations associated with implementing these technologies, including computational complexity, data quality issues, and ethical considerations. The review identifies significant trends and future directions, such as the integration of augmented and virtual reality (AR/VR) and the use of generative AI models, which promise to further advance the field. By providing a comprehensive overview of the current state of NLP and AI in data visualization, this paper aims to inform and guide future research and development efforts in leveraging these technologies for more effective and efficient data-driven decision-making.

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Section: Technological Infrastructurementioning

confidence: 99%

A Review of Utilizing Natural Language Processing and Ai for Advanced Data Visualization in Real-Time Analytics

Uddin

2024

GMJ

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“…It makes data collection, even real-time data collection possible in underground environment. Due to the specialised knowledge required for underground mining processes, 3R applications have been developed to address the need for effective visualisation and demonstration of mining information [23], [24], [43]- [45]. In contrast to conventional scientific visualisation, information visualisation places greater emphasis on 3D spatial visualisation.…”

Section: Background a Mining Digitalisationmentioning

confidence: 99%

Exploring the Fusion Potentials of Data Visualization and Data Analytics in the Process of Mining Digitalization

et al. 2023

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Mining digitalisation have been receiving significant attention due to the utilisation of advanced technologies, such as IoT, automation, and sensing. However, maximising the potential value of collected data in the mining industry remains a challenge. Therefore, this paper aims to review timely concern topics to facilitate the fusion implementation in mining engineering. Specifically, this review covers recent popular topics, such as, data visualisation, data management, data analytics, data fusion, visual analytics, and mining digital twin construction. In this paper, we aim to draw a comprehensive picture about the fusion of data visualisation and analytics in the big data context, by examining the recent academic research related to these topics. Therefore, this paper reviews the visualisation domain by conventional classification, including scientific visualisation, information visualisation, and visual analytics, associated with the analysis of current digital twin development. Next, according to the challenges and issues related to visualisation development, this paper reviews the data management and data analytics domains as well. Incorporating with the fusion concept, machine learning-oriented fusion applications and potential scenarios in the mining industry have been discussed. In addition, based on the observation across various domains, this paper presents challenges and future potentials of data fusion in mining.INDEX TERMS mining digitalisation, data management, data analytics, data visualisation, and data fusion I. INTRODUCTION

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Evaluation Design for Learning with Mixed Reality in Mining Education Based on a Literature Review

Thurner

Daling

Ebner

et al. 2021

Learning and Collaboration Technologies: Games and Virtual Environments for Learning

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MiReBooks – Mixed Reality Lehrbücher für das Bergbau-Studium

Cited by 5 publications

References 0 publications

A Review of Utilizing Natural Language Processing and Ai for Advanced Data Visualization in Real-Time Analytics

A Review of Utilizing Natural Language Processing and Ai for Advanced Data Visualization in Real-Time Analytics

Exploring the Fusion Potentials of Data Visualization and Data Analytics in the Process of Mining Digitalization

Evaluation Design for Learning with Mixed Reality in Mining Education Based on a Literature Review

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