Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Anna Lopez‐Carr"'
Autor:
Wenwen Li, Sizhe Wang, Xiao Chen, Yuanyuan Tian, Zhining Gu, Anna Lopez-Carr, Andrew Schroeder, Kitty Currier, Mark Schildhauer, Rui Zhu
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 12, Iss 3, p 112 (2023)
The past decade has witnessed an increasing frequency and intensity of disasters, from extreme weather, drought, and wildfires to hurricanes, floods, and wars. Providing timely disaster response and humanitarian aid to these events is a critical topi
Externí odkaz:
https://doaj.org/article/ed4a161bd7ff4e7a9cb8ab643c13718e
Autor:
Krzysztof Janowicz, Pascal Hitzler, Wenwen Li, Dean Rehberger, Mark Schildhauer, Rui Zhu, Cogan Shimizu, Colby K. Fisher, Ling Cai, Gengchen Mai, Joseph Zalewski, Lu Zhou, Shirly Stephen, Seila Gonzalez, Bryce Mecum, Anna Lopez‐Carr, Andrew Schroeder, David Smith, Dawn Wright, Sizhe Wang, Yuanyuan Tian, Zilong Liu, Meilin Shi, Anthony D'Onofrio, Zhining Gu, Kitty Currier
Publikováno v:
AI Magazine; Vol. 43 No. 1: Spring 2022; 30-39
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 2022, ' Know, Know Where, Know Where Graph : A densely connected, cross-domain knowledge graph and geo-enrichment service stack for applications in environmental intelligence ', AI Magazine, vol. 43, no. 1, pp. 30-39 . https://doi.org/10.1002/aaai.12043
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 2022, ' Know, Know Where, Know Where Graph : A densely connected, cross-domain knowledge graph and geo-enrichment service stack for applications in environmental intelligence ', AI Magazine, vol. 43, no. 1, pp. 30-39 . https://doi.org/10.1002/aaai.12043
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 eng
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::282e74da546748270460e741eed6f9fb
https://doi.org/10.1002/aaai.12043
https://doi.org/10.1002/aaai.12043
Autor:
Yuanyuan Tian, Colby K. Fisher, Anna Lopez-Carr, Shirly Stephen, Cogan Shimizu, Mark Schildhauer, Gengchen Mai, Zilong Liu, Krzysztof Janowicz, Ling Cai, Andrew Schroeder, Rui Zhu
Publikováno v:
K-CAP
Disasters are often unpredictable and complex events, requiring humanitarian organizations to understand and respond to many different issues simultaneously and immediately. Often the biggest challenge to improving the effectiveness of the response i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee833f6cdfb073f85ac5595e16979750
https://doi.org/10.1145/3460210.3493581
https://doi.org/10.1145/3460210.3493581