Abstract Knowledge graphs represented as RDF datasets are integral to many machine learning applications. is supported by a rich ecosystem of data management systems and tools, most notably database that provide SPARQL query interface. Surprisingly, tools for knowledge do not use SPARQL, despite the obvious advantages using system. This due mismatch between in terms model programming style. Mac...

For the investment decision for new production equipment it becomes more and more common to guarantee the total amount of life-cycle-costs (LCC). In the research project "LoeWe", funded by the German Federal Ministry of Education and Research (BMBF), methods are developed to minimize life cycle costs in the development, operation and recycling phase. Exemplarily the development of an innovative...

For the development of machine tools, dynamic behaviour of the complete system is of utmost importance for the efficiency and precision of the machines. The complete system consists of structural parts, drives in different axes, and control. During machining the interaction between work piece and tool generates cutting forces which may cause vibrations in the system. These vibrations have to be...

Owing to the complexity and variability of metagenomic studies, modern machine learning approaches have seen increased usage to answer a variety of question encompassing the full range of metagenomic NGS data analysis. We review here the contribution of machine learning techniques for the field of metagenomics, by presenting known successful approaches in a unified framework. This review focuse...

In order to implement artificial intelligence, various technologies have been widely used. Artificial Intelligence is applied for many industrial products and machine tools are the center of manufacturing devices in intelligent manufacturing devices. The purpose of this paper is to present the design of Decision Support Agent that is applicable to machine tools. This system is that decision whe...