Four perspectives on ontologies between SysML, AI, and philosophy
Four lectures showcased ontologies as a connection between SE, knowledge graphs, AI, and philosophical questions of meaning and existence.
Product Velocity is a new approach that enables companies to learn faster, make decisions more quickly, and deliver results.
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Four lectures showcased ontologies as a connection between SE, knowledge graphs, AI, and philosophical questions of meaning and existence.

This paper by Diego Dermeval on ontologies shows different approaches to their use in requirements management.

This November, the Society for Systems Engineering (GfSE) is organizing two interesting events. Reason enough to briefly report on them: The systems.camp Nord will take place in Hamburg on 11.11.2023 and the Tag des Systems Engineering (TdSE) on 15-17.11.2023 in Würzburg. I will be giving a presentation and a tutorial at TdSE.

Word has long since gotten around that in systems engineering we should not just start writing. Instead, we should control the language. The vocabulary to be used is an important aspect that can be easily controlled. I recently came across a study that deals with precisely this topic, the effects of controlled vocabulary in systems engineering.

A common language is important. Not every approach fits. Here are 5 ideas to get started with a suitable solution.

An ontology is the structure of terms, their meaning and relationships. It ensures precision in product development.
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