Harmonizing GCW Cryosphere Vocabularies with ENVO and SWEET: Towards a General Model for Semantic Harmonization

This is a Preprint and has not been peer reviewed. This is version 3 of this Preprint.

Add a Comment

You must log in to post a comment.


Comments

There are no comments or no comments have been made public for this article.

Downloads

Download Preprint

Authors

Ruth Duerr, Pier Luigi Buttigieg, Gary Berg-Cross, Kai Lewis Blumberg, brandon whitehead , Nancy Wiegand, Kate Rose

Abstract

This paper presents the specific process we, as part of the Earth Science Information Partners (ESIP) Semantic Harmonization Cluster, used to harmonize terms from the Global Cryosphere Watch (GCW) compilation of cryospheric terms with the Semantic Web for Earth and Environmental Terminology (SWEET) and the Environment Ontology (ENVO). In addition, we summarize a number of leading practices which may be applied to other projects/domains as well as suggest a generalized process for doing so. This paper describes the history of the effort, the technical and decision-making processes used to resolve differences between semantic resources, and describes a number of the issues encountered, with a focus on those that were addressed during the effort. Lessons learned, examples of the problems encountered and a summary of resulting leading practices growing out of this work is provided as an aid to semantic harmonization efforts in other domains by other groups.

DOI

https://doi.org/10.31223/X5C966

Subjects

Databases and Information Systems, Geomorphology, Glaciology, Other Earth Sciences

Keywords

Semantics, Semantic Harmonization, Lessons Learned, FAIR data, Leading Practices, Cryosphere, ontology

Dates

Published: 2023-05-17 20:03

Last Updated: 2023-12-22 11:51

Older Versions
License

CC BY Attribution 4.0 International