TY - CHAP
T1 - Fast Forward from Data to Insight: (Geographic) Knowledge Graphs and Their Applications
T2 - (Geographic) Knowledge Graphs and Their Applications
AU - Janowicz, Krzysztof
AU - Currier, Kitty
AU - Shimizu, Cogan
AU - Zhu, Rui
AU - Shi, Meilin
AU - Fisher, Colby K.
AU - Rehberger, Dean
AU - Hitzler, Pascal
AU - Liu, Zilong
AU - Stephen, Shirly
N1 - Publisher Copyright:
© 2024 selection and editorial matter, Song Gao, Yingjie Hu, and Wenwen Li; individual chapters, the contributors.
PY - 2023
Y1 - 2023
N2 - In this chapter, we explain what knowledge graphs are, how they relate to GeoAI research such as knowledge engineering and representation learning, discuss their value proposition for geography and the broader geosciences, outline application areas for knowledge graphs across domains, and introduce the KnowWhereGraph as an example of a geospatially centered, highly heterogeneous graph consisting of billions of graph statements extracted from 30 different data layers at the intersection between humans and the environment.
AB - In this chapter, we explain what knowledge graphs are, how they relate to GeoAI research such as knowledge engineering and representation learning, discuss their value proposition for geography and the broader geosciences, outline application areas for knowledge graphs across domains, and introduce the KnowWhereGraph as an example of a geospatially centered, highly heterogeneous graph consisting of billions of graph statements extracted from 30 different data layers at the intersection between humans and the environment.
UR - https://corescholar.libraries.wright.edu/cse/712
UR - https://www.scopus.com/pages/publications/85191777061
UR - https://www.scopus.com/pages/publications/85191777061#tab=citedBy
U2 - 10.1201/9781003308423-21
DO - 10.1201/9781003308423-21
M3 - Chapter
AN - SCOPUS:85191777061
SN - 9781032311661
SP - 411
EP - 426
BT - Handbook of Geospatial Artificial Intelligence
PB - CRC Press
ER -