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For over 20 years, ESIP meetings have brought together the most innovative thinkers and leaders around Earth science data, thus forming a community dedicated to making Earth science data more discoverable, accessible and useful to researchers, practitioners, policymakers, and the public. The theme of this year’s meeting is "Data for All People: From Generation to Use and Understanding."

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Wednesday, January 19 • 3:00pm - 4:00pm
Community Development of the SWEET semantic system for Earth and Environment Data - A Call for Interest

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The Semantic Web for Earth and Environmental Terminology (or SWEET) is a system, created at NASA JPL by the late Rob Raskin and colleagues, reflecting a semantic web technology approach for working with Earth and environmental data. ESIP has been the steward of SWEET more recently. As a knowledge organization system (KOS), specifically a semantic technology, SWEET is applicable and relevant for various disciplines from Earth science to library science to knowledge graphs and others.

This session will bring together anyone interested in SWEET, and will provide an overview and history of the system. It will also explore and solicit interest in developing SWEET to support data from Earth and environmental disciplines, such as disciplines represented in SWEET itself, those of attendees and beyond. ESIP Clusters on disciplines within the scope of SWEET are encouraged to attend.

From attendees, we hope to better understand limitations, gaps, problems with dealing with their disciplinary data. And how SWEET can help. The audience is encouraged to express how they may like to use SWEET, how it may be developed to be better used, etc.

We also hope to identify subject-matter experts (SME) of disciplines covered by SWEET terminology, and any disciplines that may be added. And determine if they are interested in serving as neutral SME, potentially developing such things as local SWEET definitions, verying accuracy of Wikidata definitions, etc. For example, oceanographers in general, or ESIP marine clusters in particular, may be interested in developing SWEET oceanography content, and providing conent about oceanographic data that may need semantic annotations (and thus specific terms in SWEET).
Potential benefit of this will be a pool of potential contributors, and delegation of development tasks. By involving Earth science practitioners, SWEET can be developed to a greater degree of precision; and the current vocabulary (and conceptualization as expressed by it and publications) can be verified for accuracy. If pursued, this would represent a community development approach for SWEET.

This session is relevant for the theme of 'Data for All People: From Data Generation to Data Use and Understanding' in the following manner.
SWEET is a vocabulary and semantic resource open to development for all people and Earth science and data communities. It can help with understanding data, and data use, particularly if further developed. In a collaborative development approach, it can reach more potential applications and persons from diverse backgrounds. Earth observation data is useful for all people across the lifecycle from collection or generation to use to understanding. This translates also to SWEET as a system that can terminologically and semantically support that data and knowledge base.

How to Prepare for this Session1) Review general content
2) Review content on SWEET
3) Spend some time thinking about how your data may find use in SWEET

(written by R.Rovetto, please contact with any questions or interest. https://ontospace.wordpress.com/contact)

Session Notes

Session Recording

avatar for Robert Rovetto

Robert Rovetto

Concept engineer. Aspiring PhD student, Seeking work & study opportunities, worldwide (please contact to offer)
Conceptual data modeler, Formal ontologist, Terminologist, Philosopher, and Aspiring PhD student, actively applying & searching for both employment and study opportunities and collaborations, globally. I develop conceptual & semantic models, ontologies, terminologies, graph diagrams... Read More →
avatar for Brandon Whitehead

Brandon Whitehead

environmental data scientist, manaaki whenua -- landcare research

Wednesday January 19, 2022 3:00pm - 4:00pm EST