Universal Digital Twin: Land Use – ADDENDUM

Akroyd, Jethro; Harper, Zachary; Soutar, David; Farazi, Feroz; Bhave, Amit; Mosbach, Sebastian; Kraft, Markus

doi:10.1017/dce.2022.8

Cited by 1 publication

(3 citation statements)

References 1 publication

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“…Common graph databases are optimized to handle large-scale RDF data and perform complex queries efficiently; however, native support for geospatial capabilities is limited in most off-the-shelf triple stores (Akroyd et al, 2022). Furthermore, the representation of large quantities of time series data where each data point is instantiated as an individual triple with full semantic markup can pose performance issues due to the vast amount of (partially redundant) statements.…”

Section: Representation Of Geospatial and Time Series Datamentioning

confidence: 99%

“…To avoid using custom-typed Literals to encode geospatial coordinates suitable for Blazegraph's geospatial engine (as done in previous studies: Chadzynski et al, 2021;Akroyd et al, 2022), OBDA via Ontop (Xiao et al, 2020) is used with the actual geospatial information being stored in a PostGIS database.…”

Section: Geospatial and Time Series Representationmentioning

confidence: 99%

“…The effectiveness of this approach has been demonstrated in its ability to create ecosystems of connected digital twins that provide real-time information about the world's state, intelligently control complex systems, or support system design through elaborate what-if analyses. The World Avatar constitutes a versatile system to conduct geospatial (Akroyd et al, 2022), temporal (Savage et al, 2022), as well as cross-domain scenario analyses (Eibeck et al, 2020). The derived information framework (Bai et al, 2024) can be deployed to track data provenance within the knowledge graph and ensures that newly instantiated data automatically traverses through the graph, including changes to all dependent information when required.…”

Section: Introductionmentioning

confidence: 99%

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Semantic agent framework for automated flood assessment using dynamic knowledge graphs

Hofmeister,

Bai,

Brownbridge

et al. 2024

DCE

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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 World Avatar dynamic knowledge graph to create a semantically rich asset of data, knowledge, and computational capabilities accessible to humans, applications, and artificial intelligence. We develop three new ontologies to describe and link environmental measurements and their respective reporting stations, flood events, and their potential impact on population and built infrastructure as well as the built environment of a city itself. These coupled ontologies are deployed to dynamically instantiate near real-time data from multiple fragmented sources into the World Avatar. Sequences of autonomous agents connected via the derived information framework automatically assess consequences of newly instantiated data, such as newly raised flood warnings, and cascade respective updates through the graph to ensure up-to-date insights into the number of people and building stock value at risk. Although we showcase the strength of this technology in the context of flooding, our findings suggest that this system-of-systems approach is a promising solution to build holistic digital twins for various other contexts and use cases to support truly interoperable and smart cities.

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Section: Representation Of Geospatial and Time Series Datamentioning

confidence: 99%