article

Know, Know Where, KnowWhereGraph: : A densely connected, cross‐domain knowledge graph and geo‐enrichment service stack for applications in environmental intelligence

Pages 30 - 39

https://doi.org/10.1002/aaai.12043

Published: 31 March 2022 Publication History

Abstract

Knowledge graphs (KGs) are a novel paradigm for the representation, retrieval, and integration of data from highly heterogeneous sources. Within just a few years, KGs and their supporting technologies have become a core component of modern search engines, intelligent personal assistants, business intelligence, and so on. Interestingly, despite large‐scale data availability, they have yet to be as successful in the realm of environmental data and environmental intelligence. In this paper, we will explain why spatial data require special treatment, and how and when to semantically lift environmental data to a KG. We will present our KnowWhereGraph that contains a wide range of integrated datasets at the human–environment interface, introduce our application areas, and discuss geospatial enrichment services on top of our graph. Jointly, the graph and services will provide answers to questions such as “what is here,” “what happened here before,” and “how does this region compare to …” for any region on earth within seconds.

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Yan RWang YSu RJia EWen J(2024)Evaluation on model-driven knowledge graph and platform for grid operation and maintenanceIntelligent Decision Technologies10.3233/IDT-23024518:1(647-660)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.3233/IDT-230245
Mai GHuang WSun JSong SMishra DLiu NGao SLiu TCong GHu YCundy CLi ZZhu RLao N(2024)On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper)ACM Transactions on Spatial Algorithms and Systems10.1145/365307010:2(1-46)Online publication date: 1-Jul-2024
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Information & Contributors

Information

Published In

AI Magazine Volume 43, Issue 1

Spring 2022

141 pages

ISSN:0738-4602

EISSN:2371-9621

DOI:10.1002/aaai.v43.1

Issue’s Table of Contents

This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Publisher

American Association for Artificial Intelligence

United States

Publication History

Published: 31 March 2022

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Yan RWang YSu RJia EWen J(2024)Evaluation on model-driven knowledge graph and platform for grid operation and maintenanceIntelligent Decision Technologies10.3233/IDT-23024518:1(647-660)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.3233/IDT-230245
Mai GHuang WSun JSong SMishra DLiu NGao SLiu TCong GHu YCundy CLi ZZhu RLao N(2024)On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper)ACM Transactions on Spatial Algorithms and Systems10.1145/365307010:2(1-46)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3653070
Zhu RJanowicz KThakur GMa XYoung EMai G(2023)GeoKG'2022 Workshop Report: The 1st ACM SIGSPATIAL International Workshop on Geospatial Knowledge GraphsSIGSPATIAL Special10.1145/3632268.363227914:1(37-39)Online publication date: 7-Nov-2023
https://dl.acm.org/doi/10.1145/3632268.3632279
Rawsthorne HAbadie NKergosien EDuchêne CSaux É(2023)Automatic Nested Spatial Entity and Spatial Relation Extraction From Text for Knowledge Graph CreationProceedings of the 7th ACM SIGSPATIAL International Workshop on Geospatial Humanities10.1145/3615887.3627754(21-30)Online publication date: 13-Nov-2023
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Arundel SLi WCampbell B(2023)Reimagining standardization and geospatial interoperability in today's GeoAI cultureProceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery10.1145/3615886.3627744(83-84)Online publication date: 13-Nov-2023
https://dl.acm.org/doi/10.1145/3615886.3627744
Zhang YBroyaka AKastens JFeatherstone AShimizu CHitzler PMcginty H(2023)Sustainable Grain Transportation in Ukraine Amidst War Utilizing KNARM and KnowWhereGraphCompanion Proceedings of the ACM Web Conference 202310.1145/3543873.3587618(742-745)Online publication date: 30-Apr-2023
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Ng PChen PSin ZJia YLi RBaciu GCao JLi Q(2023)From Classroom to Metaverse: A Study on Gamified Constructivist Teaching in Higher EducationAdvances in Web-Based Learning – ICWL 202310.1007/978-981-99-8385-8_8(92-106)Online publication date: 26-Nov-2023
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Shimizu CStephen SChristou ACurrier KMahdavinejad MNorouzi SDalal ABarua AFisher CD’Onofrio AThelen TJanowicz KRehberger DSchildhauer MHitzler P(2023)KnowWhereGraph-Lite: A Perspective of the KnowWhereGraphKnowledge Graphs and Semantic Web10.1007/978-3-031-47745-4_15(199-212)Online publication date: 13-Nov-2023
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Cadorel LTettamanzi AGandon F(2022)Towards a representation of uncertain geospatial information in knowledge graphsProceedings of the 1st ACM SIGSPATIAL International Workshop on Geospatial Knowledge Graphs10.1145/3557990.3567588(1-2)Online publication date: 1-Nov-2022
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Rao JGao SMiller MMorales A(2022)Measuring network resilience via geospatial knowledge graphProceedings of the 1st ACM SIGSPATIAL International Workshop on Geospatial Knowledge Graphs10.1145/3557990.3567569(17-25)Online publication date: 1-Nov-2022
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