We are happy to announce the new release of the Modern Science Ontology (ModSci), an ontology for modeling relationships between modern science branches and related entities, such as scientific discoveries, phenomena, renowned scientists, instruments, etc. ModSci is a poly-hierarchical ontology that can be utilized in Semantic Web applications. It is an upper ontology that provides a unifying framework for the various domain ontologies that make up the Science Knowledge Graph Ontology (SKGO) Suite .
Indeed, the classification of research topics through ontological taxonomies supports a diversity of research areas, such as information exploration (e.g., in digital libraries), scholarly data analytics and integration, and modeling research dynamics.
The ModSci classification tree of modern sciences branches is freely available for research purposes in HTML format (viewable as an interactive graph).
ModSci powers two projects for semantically representing scholarly information: Open Research Knowledge Graph (orkg.org) and OpenResearch.org.
Feel free to report issues here:
- reporting a problem,
- Improvement request
 Fathalla, S., Auer, S., & Lange, C. (2020, March). Towards the semantic formalization of science. In Proceedings of the 35th Annual ACM Symposium on Applied Computing (pp. 2057-2059).
@saidfathalla Thanks, interesting. But better to post the doi:10.1145/3341105.3374132 and ACM download links as well. Who knows how long ResearchGate will usefully persist and requiring registration also contravenes open access. As lead author, why not publish under CC‑BY‑4.0? Or alternatively provide an open‑licensed post‑print on arXiv or even here? R.
Agree with you. Thanks for your suggestion.The link has been updated
Its good to learn about modeling relationships between modern science branches and related entities like scientific discoveries, phenomena,and more you pointed out above.