Summary of Towards An Ontology Of Portions Of Matter to Support Multi-scale Analysis and Provenance Tracking, by Lucas Valadares Vieira et al.
Towards an ontology of portions of matter to support multi-scale analysis and provenance tracking
by Lucas Valadares Vieira, Mara Abel, Fabricio Henrique Rodrigues, Tiago Prince Sales, Claudenir M. Fonseca
First submitted to arxiv on: 1 Jun 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| 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 ontology for portions of matter, developed under the Unified Foundational Ontology (UFO), introduces the granuleOf parthood relation between objects and portions of matter. The concept of quantity is used to represent topologically maximally self-connected portions of matter. The ontology also discusses the constitution of quantities by collections of granules, the representation of sub-portions of matter, and the tracking of matter provenance between quantities using historical relations. In a case study, the ontology is applied in the geology domain for an Oil & Gas industry application, modeling the historical relation between an original portion of rock and the sub-portions created during the industrial process. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper creates a new way to understand and work with different parts of matter. It helps us define what these parts are, how they relate to each other, and how we can track changes over time. This is important for industries like Oil & Gas, where understanding the history and composition of rocks and minerals is crucial. |
Keywords
» Artificial intelligence » Tracking
