Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Feroz Farazi"'
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:
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
Autor:
Arkadiusz Chadzynski, Shiying Li, Ayda Grisiute, Feroz Farazi, Casper Lindberg, Sebastian Mosbach, Pieter Herthogs, Markus Kraft
Publikováno v:
Energy and AI, Vol 8, Iss , Pp 100137- (2022)
This paper presents a system of autonomous intelligent software agents, based on a cognitive architecture, capable of automated instantiation, visualisation and analysis of multifaceted City Information Models in dynamic geospatial knowledge graphs.
Externí odkaz:
https://doaj.org/article/cf0ce6ef46ab4b3ea1c94234c4a7cbc7
Autor:
Feroz Farazi, Maurin Salamanca, Sebastian Mosbach, Jethro Akroyd, Andreas Eibeck, Leonardus Kevin Aditya, Arkadiusz Chadzynski, Kang Pan, Xiaochi Zhou, Shaocong Zhang, Mei Qi Lim, Markus Kraft
Publikováno v:
ACS Omega, Vol 5, Iss 29, Pp 18342-18348 (2020)
Externí odkaz:
https://doaj.org/article/cc8e7ac6293e495b8c33f0c9e103f1fd
Autor:
Jethro Akroyd, Zachary Harper, David Soutar, Feroz Farazi, Amit Bhave, Sebastian Mosbach, Markus Kraft
Publikováno v:
Data-Centric Engineering, Vol 3 (2022)
This article develops an ontological description of land use and applies it to incorporate geospatial information describing land coverage into a knowledge-graph-based Universal Digital Twin. Sources of data relating to land use in the UK have been s
Externí odkaz:
https://doaj.org/article/949e8504a2b64064b55b674505c86200
Autor:
Arkadiusz Chadzynski, Nenad Krdzavac, Feroz Farazi, Mei Qi Lim, Shiying Li, Ayda Grisiute, Pieter Herthogs, Aurel von Richthofen, Stephen Cairns, Markus Kraft
Publikováno v:
Energy and AI, Vol 6, Iss , Pp 100106- (2021)
This paper presents a dynamic geospatial knowledge graph as part of The World Avatar project, with an underlying ontology based on CityGML 2.0 for three-dimensional geometrical city objects. We comprehensively evaluated, repaired and refined an exist
Externí odkaz:
https://doaj.org/article/92ec3f38afd44d6882bd1b9455d27460
Publikováno v:
JeDEM - eJournal of eDemocracy & Open Government, Vol 6, Iss 1 (2014)
The provision of public information contributes to the enrichment and enhancement of the data produced by the government as part of its activities, and the transformation of heterogeneous data into information and knowledge. This process of opening c
Externí odkaz:
https://doaj.org/article/dfe9d96860264b8995ce612c1ebeb50e
Autor:
Sebastian Mosbach, Jethro Akroyd, Markus Kraft, Jiaru Bai, Eric J. Bringley, Rory Geeson, Feroz Farazi
Publikováno v:
Journal of Chemical Information and Modeling
In this paper, we develop a knowledge graph-based framework for the automated calibration of combustion reaction mechanisms and demonstrate its effectiveness on a case study of poly(oxymethylene)dimethyl ether (PODEn, where n = 3) oxidation. We devel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f653b0a779b063e06a4ea935f032ea64
https://doi.org/10.1021/acs.jcim.0c01322
https://doi.org/10.1021/acs.jcim.0c01322