Today’s development environments in the manufacturing industry require different development tools to work together. These complex environments are highly heterogeneous and constantly changing, and the development tools are producing a huge amount of data. As a result, these development environments must overcome a significant problem related to data integration. In this paper, we examine a case study from the automotive industry using the linked enterprise data approach to integrate data from different development tools. The study explains and applies a data quality assessment methodology as a post-integration phase for linked enterprise data. In this study, important data quality dimensions from the literature are merged with empirical r...
The application of Industrial Data Science in context of connected Smart Products requires modeling ...
This thesis goal is to identify, collect, analyze, and evaluate the quality metrics for a product ma...
Introduction: Data visualisation (DV) is the process of creating and presenting a chart given a set ...
Today’s development environments in the manufacturing industry require different development tools t...
Today's development environments in the manufacturing industry require different development tools t...
As survival of companies is more judged by the ability to extract the right information within their...
With the expansion in the amount of data being produced as Linked Data (LD), the opportunity to buil...
With the expansion in the amount of data being produced as Linked Data (LD), the opportunity to buil...
Industrial enterprises rely on prediction of market behavior, monitoring of performance measures, ev...
Businesses are increasingly using their enterprise data for strategic decision-making activities. In...
This paper describes a new intelligent, data-driven dashboard for linked data quality assessment. Th...
Part 6: Research in Progress and PracticeInternational audienceMany studies have confirmed the chall...
In a world where the information economy is booming, poor data quality can lead to adverse consequen...
To meet customer demands, companies must manage numerous variants and versions of their products. Si...
Enterprises have a large amount of data available, represented in different formats normally accessi...
The application of Industrial Data Science in context of connected Smart Products requires modeling ...
This thesis goal is to identify, collect, analyze, and evaluate the quality metrics for a product ma...
Introduction: Data visualisation (DV) is the process of creating and presenting a chart given a set ...
Today’s development environments in the manufacturing industry require different development tools t...
Today's development environments in the manufacturing industry require different development tools t...
As survival of companies is more judged by the ability to extract the right information within their...
With the expansion in the amount of data being produced as Linked Data (LD), the opportunity to buil...
With the expansion in the amount of data being produced as Linked Data (LD), the opportunity to buil...
Industrial enterprises rely on prediction of market behavior, monitoring of performance measures, ev...
Businesses are increasingly using their enterprise data for strategic decision-making activities. In...
This paper describes a new intelligent, data-driven dashboard for linked data quality assessment. Th...
Part 6: Research in Progress and PracticeInternational audienceMany studies have confirmed the chall...
In a world where the information economy is booming, poor data quality can lead to adverse consequen...
To meet customer demands, companies must manage numerous variants and versions of their products. Si...
Enterprises have a large amount of data available, represented in different formats normally accessi...
The application of Industrial Data Science in context of connected Smart Products requires modeling ...
This thesis goal is to identify, collect, analyze, and evaluate the quality metrics for a product ma...
Introduction: Data visualisation (DV) is the process of creating and presenting a chart given a set ...