Open AccessKnow, Know Where, KnowWhereGraph: A densely connected, cross‐domain knowledge graph and geo‐enrichment service stack for applications in environmental intelligence
Author(s) -
Janowicz Krzysztof,
Hitzler Pascal,
Li Wenwen,
Rehberger Dean,
Schildhauer Mark,
Zhu Rui,
Shimizu Cogan,
Fisher Colby K.,
Cai Ling,
Mai Gengchen,
Zalewski Joseph,
Zhou Lu,
Stephen Shirly,
Gonzalez Seila,
Mecum Bryce,
LopezCarr Anna,
Schroeder Andrew,
Smith David,
Wright Dawn,
Wang Sizhe,
Tian Yuanyuan,
Liu Zilong,
Shi Meilin,
D'Onofrio Anthony,
Gu Zhining,
Currier Kitty
Publication year - 2022
Publication title -
ai magazine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.597
H-Index - 79
eISSN - 2371-9621
pISSN - 0738-4602
DOI - 10.1002/aaai.12043
Subject(s) - computer science , geospatial analysis , data science , graph , realm , component (thermodynamics) , knowledge graph , domain (mathematical analysis) , environmental data , world wide web , information retrieval , theoretical computer science , geography , cartography , mathematical analysis , physics , mathematics , archaeology , political science , law , thermodynamics
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.