
AbstractAn overview of the use of ontologies in process systems engineering, which has increased continuously since the early 1990s, is presented. Ontologies have formal semantics that can be exploited when part of the information is missing, enabling engineers and stakeholders to independently develop partial descriptions of the same artifact (product, plant, or process) and check consistency when the descriptions are combined. Likewise, ontologies are useful for generating new conclusions from existing data. Because of their intrinsic foundation in mathematical logic, ontologies provide the structure and semantics for validating information.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 10 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
