Incorporate temporal topology in a deep‐time knowledge base to facilitate data‐driven discovery in geoscience-Reference-Cited by-同舟云学术

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Incorporate temporal topology in a deep‐time knowledge base to facilitate data‐driven discovery in geoscience

Published:2022-07-17 Issue: Volume: Page:
ISSN:2049-6060
Container-title:Geoscience Data Journal
language:en
Short-container-title:Geoscience Data Journal

Author:

Ma Chao¹²,Morrison Shaunna M.³,Muscente A. Drew⁴,Wang Chengbin⁵,Ma Xiaogang¹^ORCID

Affiliation:

1. Department of Computer Science University of Idaho Moscow Idaho USA

2. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation Chengdu University of Technology Chengdu China

3. Earth and Planets Laboratory Carnegie Institution for Science Washington District of Columbia USA

4. Department of Geology Cornell College Mount Vernon Iowa USA

5. State Key Laboratory of Geological Processes and Mineral Resources & School of Earth Resources China University of Geosciences Wuhan China

Funder

National Science Foundation

Alfred P. Sloan Foundation

Publisher

Wiley

Subject

General Earth and Planetary Sciences

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/gdj3.171

Reference41 articles.

1. Towards a general theory of action and time;Allen J.F.;Artificial Intelligence,1984

2. The semantic web;Berners‐Lee T.;Scientific American,2001

3. The ICS international chronostratigraphic chart;Cohen K.M.;Episodes,2013

4. Cox S.J.D.(2020)Geologic Timescale Data. Available at:https://github.com/CGI‐IUGS/timescale‐data[Accessed 9th September 2020].

5. Cox S.J.D.&Little C.(2020)Time ontology in OWL. Available at: https://www.w3.org/TR/owl‐time/[Accessed 15th June 2021].

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