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OntoCommons aims at defining a semantic interoperability framework to support the documentation of industrial data with ontologies. This document summarises the landscape analysis on domain ontologies. The scope of this analysis covers the domains of Physics and Chemistry, Mechanical and Industrial Engineering, Materials Science and Engineering, Thermal and Process Engineering, and Computer Science, Systems and Electrical Engineering. A dataset of 130 ontologies has been created based on expert inputs collected during workshops and surveys. Using this dataset, we collected information both manually and automatically to better describe the landscape (number of ontologies by domains, usage of Top-Level Ontologies, serialisation, complexity, compliance to FAIR principles, domain coverage, etc.). This first analysis highlighted the strong heterogeneities within and among the different domains and the low level of compliance to FAIR principles for each community.
| 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). | 2 | |
| 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. | Average | |
| 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 |
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