Summary of The Common Core Ontologies, by Mark Jensen et al.
The Common Core Ontologies
by Mark Jensen, Giacomo De Colle, Sean Kindya, Cameron More, Alexander P. Cox, John Beverley
First submitted to arxiv on: 27 Apr 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Databases (cs.DB); Logic in Computer Science (cs.LO)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
Summary difficulty | Written by | Summary |
---|---|---|
High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed Common Core Ontologies (CCO) aim to bridge the gap between the Basic Formal Ontology and more detailed, domain-specific ontologies. As a mid-level ontology suite, CCO has gained popularity among users and applications, but lacks comprehensive documentation. This paper addresses this knowledge gap by delving into the contents of the 11 ontologies that comprise the CCO suite. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary The Common Core Ontologies (CCO) are designed to be a middle-ground between general formal ontology and domain-specific ontologies. Even though CCO has been widely adopted, there’s not enough information about what’s inside it. This paper tries to help by explaining what the 11 small parts of CCO do. |