Zobrazeno 1 - 10
of 431
pro vyhledávání: '"Markus Kraft"'
Autor:
Wanni Xie, Feroz Farazi, John Atherton, Jiaru Bai, Sebastian Mosbach, Jethro Akroyd, Markus Kraft
Publikováno v:
Energy and AI, Vol 17, Iss , Pp 100359- (2024)
This paper presents a dynamic knowledge graph approach that offers a reusable, interoperable, and extensible framework for modelling power systems. Domain ontologies have been developed to support a linked data representation of infrastructure data,
Externí odkaz:
https://doaj.org/article/e2614418492a494b9cbc8138a33f19b2
Autor:
Markus Hofmeister, Kok Foong Lee, Yi-Kai Tsai, Magnus Müller, Karthik Nagarajan, Sebastian Mosbach, Jethro Akroyd, Markus Kraft
Publikováno v:
Energy and AI, Vol 17, Iss , Pp 100376- (2024)
This paper presents a knowledge graph-based approach for the dynamic control of a district heating network with integrated emission dispersion modelling. We propose an interoperable and extensible implementation to forecast the anticipated heat deman
Externí odkaz:
https://doaj.org/article/074ce95dc00c42ba8da371716b446312
Publikováno v:
ACS Omega, Vol 9, Iss 12, Pp 13883-13896 (2024)
Externí odkaz:
https://doaj.org/article/582715c26ead4b16a60a151105ef54ca
Autor:
Simon D. Rihm, Yong Ren Tan, Wilson Ang, Markus Hofmeister, Xinhong Deng, Michael Teguh Laksana, Hou Yee Quek, Jiaru Bai, Laura Pascazio, Sim Chun Siong, Jethro Akroyd, Sebastian Mosbach, Markus Kraft
Publikováno v:
SLAS Technology, Vol 29, Iss 3, Pp 100135- (2024)
Laboratory management automation is essential for achieving interoperability in the domain of experimental research and accelerating scientific discovery. The integration of resources and the sharing of knowledge across organisations enable scientifi
Externí odkaz:
https://doaj.org/article/d7a54c3a5e0c47d19ed360c087192e07
Autor:
Jiaru Bai, Sebastian Mosbach, Connor J. Taylor, Dogancan Karan, Kok Foong Lee, Simon D. Rihm, Jethro Akroyd, Alexei A. Lapkin, Markus Kraft
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract The ability to integrate resources and share knowledge across organisations empowers scientists to expedite the scientific discovery process. This is especially crucial in addressing emerging global challenges that require global solutions.
Externí odkaz:
https://doaj.org/article/dfcefaff71b5416b8ac147ed77fd6e23
Autor:
Shin Zert Phua, Kok Foong Lee, Yi-Kai Tsai, Srishti Ganguly, Jingya Yan, Sebastian Mosbach, Trina Ng, Aurel Moise, Benjamin P. Horton, Markus Kraft
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 7815 (2024)
This paper explores the application of The World Avatar (TWA) dynamic knowledge graph to connect isolated data and assess the impact of rising sea levels in Singapore. Current sea level rise vulnerability assessment tools are often regional, narrow i
Externí odkaz:
https://doaj.org/article/6032b0bde43e4468bad0bf6c57c2c0db
Autor:
Xiaochun Hu, Qianwenhao Fan, Mingwu Tan, Yuqing Luo, Xianyue Wu, Manoel Y. Manuputty, Jie Ding, Tej S. Choksi, Markus Kraft, Rong Xu, Zhiqiang Sun, Wen Liu
Publikováno v:
Carbon Energy, Vol 6, Iss 4, Pp n/a-n/a (2024)
Abstract The surface properties of oxidic supports and their interaction with the supported metals play critical roles in governing the catalytic activities of oxide‐supported metal catalysts. When metals are supported on reducible oxides, dynamic
Externí odkaz:
https://doaj.org/article/596f99e9dccd4cccb22630c92fff3333
Publikováno v:
ACS Omega, Vol 8, Iss 36, Pp 33039-33057 (2023)
Externí odkaz:
https://doaj.org/article/b156ad55040a4345be0d9f272a1fea28
Autor:
Heidi Silvennoinen, Arkadiusz Chadzynski, Feroz Farazi, Ayda Grišiūtė, Zhongming Shi, Aurel von Richthofen, Stephen Cairns, Markus Kraft, Martin Raubal, Pieter Herthogs
Publikováno v:
Journal of Urban Management, Vol 12, Iss 2, Pp 151-167 (2023)
Semantic web technologies have the potential to significantly improve urban regulatory data access, integration and usability, with potentially large implications for planning practice. Ontologies are a cornerstone of the semantic web. In this paper,
Externí odkaz:
https://doaj.org/article/692dc1cd2b6845c29fffa5fd93f4699c
Autor:
Markus Hofmeister, Jiaru Bai, George Brownbridge, Sebastian Mosbach, Kok F. Lee, Feroz Farazi, Michael Hillman, Mehal Agarwal, Srishti Ganguly, Jethro Akroyd, Markus Kraft
Publikováno v:
Data-Centric Engineering, Vol 5 (2024)
This article proposes a framework of linked software agents that continuously interact with an underlying knowledge graph to automatically assess the impacts of potential flooding events. It builds on the idea of connected digital twins based on the
Externí odkaz:
https://doaj.org/article/f911f0803d714cef995cd2b0901a431b