Reimagining standardization and geospatial interoperability in today's GeoAI culture

Samantha T. Arundel; Wenwen Li; Bryan B. Campbell

doi:10.1145/3615886.3627744

Reimagining standardization and geospatial interoperability in today's GeoAI culture

Samantha T. Arundel, Wenwen Li, Bryan B. Campbell

Geographical Sciences and Urban Planning, School of (SGSUP)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Integrating Geospatial Artificial Intelligence (GeoAI) into our technological landscape has revolutionized our capacity to understand and engage with the world. However, the burgeoning adoption of GeoAI applications has emphasized the priority of data, format, and conveyance standardization and improving geospatial interoperability. This vision paper examines the intricacies of the evolving GeoAI environment, emphasizing the vital role of standardized practices and elevated interoperability. By synthesizing insights from geography, computer science, and data ethics, this contribution envisions a future characterized by the seamless synergy between AI systems and geospatial data, driving impactful decision-making and transformative innovation.

Original language	English (US)
Title of host publication	GeoAI 2023 - Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery
Editors	Shawn Newsam, Lexie Yang, Gengchen Mai, Bruno Martins, Dalton Lunga, Song Gao
Publisher	Association for Computing Machinery, Inc
Pages	83-84
Number of pages	2
ISBN (Electronic)	9798400703485
DOIs	https://doi.org/10.1145/3615886.3627744
State	Published - Nov 13 2023
Event	6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2023 - Hamburg, Germany Duration: Nov 13 2023 → …

Publication series

Name	GeoAI 2023 - Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery

Conference

Conference	6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2023
Country/Territory	Germany
City	Hamburg
Period	11/13/23 → …

Keywords

Collaborative Innovation
Data Ethics
GeoAI
Geospatial Interoperability
Standardization

ASJC Scopus subject areas

Artificial Intelligence
Geography, Planning and Development

Access to Document

10.1145/3615886.3627744

Cite this

Arundel, S. T., Li, W., & Campbell, B. B. (2023). Reimagining standardization and geospatial interoperability in today's GeoAI culture. In S. Newsam, L. Yang, G. Mai, B. Martins, D. Lunga, & S. Gao (Eds.), GeoAI 2023 - Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (pp. 83-84). (GeoAI 2023 - Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery). Association for Computing Machinery, Inc. https://doi.org/10.1145/3615886.3627744

Reimagining standardization and geospatial interoperability in today's GeoAI culture. / Arundel, Samantha T.; Li, Wenwen; Campbell, Bryan B.
GeoAI 2023 - Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery. ed. / Shawn Newsam; Lexie Yang; Gengchen Mai; Bruno Martins; Dalton Lunga; Song Gao. Association for Computing Machinery, Inc, 2023. p. 83-84 (GeoAI 2023 - Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Arundel, ST, Li, W & Campbell, BB 2023, Reimagining standardization and geospatial interoperability in today's GeoAI culture. in S Newsam, L Yang, G Mai, B Martins, D Lunga & S Gao (eds), GeoAI 2023 - Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery. GeoAI 2023 - Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, Association for Computing Machinery, Inc, pp. 83-84, 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2023, Hamburg, Germany, 11/13/23. https://doi.org/10.1145/3615886.3627744

Arundel ST, Li W, Campbell BB. Reimagining standardization and geospatial interoperability in today's GeoAI culture. In Newsam S, Yang L, Mai G, Martins B, Lunga D, Gao S, editors, GeoAI 2023 - Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery. Association for Computing Machinery, Inc. 2023. p. 83-84. (GeoAI 2023 - Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery). doi: 10.1145/3615886.3627744

Arundel, Samantha T. ; Li, Wenwen ; Campbell, Bryan B. / Reimagining standardization and geospatial interoperability in today's GeoAI culture. GeoAI 2023 - Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery. editor / Shawn Newsam ; Lexie Yang ; Gengchen Mai ; Bruno Martins ; Dalton Lunga ; Song Gao. Association for Computing Machinery, Inc, 2023. pp. 83-84 (GeoAI 2023 - Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery).

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Reimagining standardization and geospatial interoperability in today's GeoAI culture

Abstract

Publication series

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Keywords

ASJC Scopus subject areas

Access to Document

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