インダストリアルエンジニアリングとマネジメント

Over the past few decades, Ontology Engineering has received a lot of attention, which has led to the publication of numerous works on methodologies, guidelines, tools, resources, and other things. including issues that require further investigation. Despite the fact that, there are as yet many open inquiries while tending to another metaphysics advancement project, with respect to how to deal with the general venture and expressive changes between exercises or which undertakings and instruments are suggested for each step. The overall and lightweight Linked Open Terms (LOT) methodology for building ontologies based on existing methodologies and geared toward developments and technologies in the semantic web is what we propose in this paper. In addition to academic and research projects, the LOT methodology emphasizes alignment with software development, which integrates ontology development into the software industry. It is reported that this methodology was used on 18 projects and incorporates lessons learned from more than 20 years of ontological engineering.

A crucial performance indicator for industrial ethanol production using the yeast Saccharomyces cerevisiae is product yield on carbohydrate feedstock’s. By altering the ratio of ethanol production, yeast growth, and glycerol formation in anaerobic yeast cultures, this paper examines pathway engineering strategies for increasing ethanol yield on glucose and/or sucrose. Strategies for altering redox-cofactor coupling in carbon and nitrogen metabolism, which aim to reduce or eliminate the role of glycerol formation in anaerobic redox metabolism, and strategies for altering alcoholic fermentation's energy coupling receive particular attention. We discuss context dependence, theoretical impact, and the potential for industrial application of various proposed and developed strategies in addition to providing an overview of scientific advancements.