Know, Know Where, KnowWhereGraph: A densely connected, cross-domain knowledge graph and geo-enrichment service stack for applications in environmental intelligence (vol 43, pg 30, 2022)

被引：1
|
作者：
Janowicz, K.
Hitzler, P.
Li, W.
Rehberger, D.
Schildhauer, M.
Zhu, R.
Shimizu, C.
Fisher, C. K.
Cai, L.
Mai, G.
Zalewski, J.
Zhou, L.
Stephen, S.
Gonzalez, S.
Mecum, B.
Lopez-Carr, A.
Schroeder, A.
Smith, D.
Wright, D.
Wang, S.
Tian, Y.
Liu, Z.
Shi, M.
D'Onofrio, A.
Gu, Z.
Currier, K.
机构：
来源：
AI MAGAZINE | 2022年 / 43卷 / 02期
关键词：
D O I：
10.1002/aaai.12045
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
引用
收藏
页码：270 / 270
页数：1
相关论文
共 1 条
  • [1] Know, Know Where, KnowWhereGraph: A densely connected, cross-domain knowledge graph and geo-enrichment service stack for applications in environmental intelligence
    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
    Lopez-Carr, Anna
    Schroeder, Andrew
    Smith, David
    Wright, Dawn
    Wang, Sizhe
    Tian, Yuanyuan
    Liu, Zilong
    Shi, Meilin
    D'Onofrio, Anthony
    Gu, Zhining
    Currier, Kitty
    AI MAGAZINE, 2022, 43 (01) : 30 - 39
1