The World Avatar—A World Model for Facilitating Interoperability

Lim, Mei Qi; Wang, Xiaonan; Inderwildi, Oliver R.; Kraft, Markus

doi:10.1007/978-3-030-86215-2_4

Cited by 11 publications

(4 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The research topics of the TWA project study the formalization, evaluation and repair of ontologies based on the CityGML, and many other data models (in fields such as environment, weather, etc.) (Lim et al, 2021). Their integrated and dKG structures information from a semantic point of view at least.…”

Section: Schemaless Databasementioning

confidence: 99%

“…The focus is made on the contrast between the static of the relational databases and the continuous evolution of users' needs. Behind the idea that the digitalization enhances the communication, The World Avatar (TWA) is a project led by the CARES center of the University of Cambridge in Singapore (Lim et al, 2021). The TWA intends to capture the idea of representing every aspect of the real world in a digital model.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

From consistency to flexibility: Handling spatial information schema thanks to a middleware in a 3D city modeling context

Nys

Billen

2022

Transactions in GIS

View full text Add to dashboard Cite

Twinning elements of reality gains a growing interest in support of decision‐making, learning, and simulations: a single and shared model should provide a unique integrative basis for managing assets of any replica of the real world. From a technical viewpoint, sharing and opening information requires both an exchange format and a high degree of freedom and flexibility. It should allow an important number of users to manage this information, to modify it, etc. Storing and manipulating spatial information concerning the urban built context currently focuses on ensuring consistency thanks to relational databases and predefined schemas. Following a paradigm shift from a relational database to a NoSQL database, a schema validation middleware is proposed to improve the flexibility of storage by conceding a share of its consistency. The flexibility improvements thus provide users a common basis that is able to evolve all along the lifecycle of their models and applications as required for twinning things. It allows users and their applications to take advantage of new storage features such as common: versioning, partitioning, prioritization, applications profiles, etc. The middleware and their new capabilities are illustrated thanks to the CityJSON encoding and its simplified schema for a document‐oriented database.

show abstract

Section: Schemaless Databasementioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

From consistency to flexibility: Handling spatial information schema thanks to a middleware in a 3D city modeling context

Nys

Billen

2022

Transactions in GIS

View full text Add to dashboard Cite

show abstract

“…CPSs are enabled by a combination of advanced digital technologies that facilitate such integration, information exchange, and control between digital and physical components. Those enabling technologies include mobile communication networks (5G/6G, Wi-Fi, low-power wide-area networks); cloud computing; edge computing; blockchain/smart contracts; Internet of Things (advanced sensors and actuators); smart metering; semantic web/knowledge graph; digital twin; big data; as well as machine learning [6,10].…”

Section: Cyberphysical Systems At the Center Of Intelligent Decarboni...mentioning

confidence: 99%

International Collaboration: Mainstreaming Artificial Intelligence and Cyberphysical Systems for Carbon Neutrality

Jelinek,

Bhave,

Buchoud

et al. 2024

Trans. Ind. Cyb-Phy. Sys.

Self Cite

View full text Add to dashboard Cite

Cyberphysical systems together with Artificial Intelligence play vital roles in reducing, eliminating, and removing greenhouse gas emissions across sectors. Electrification with renewables introduces complexity in systems in the deployment, integration, and efficient orchestration of electrified economic systems. AI-driven cyberphysical systems are uniquely suited to tackle this complexity, potentially accelerating the transition towards a low-carbon economy. The objective of this policy brief is to advocate for the mainstreaming of AI-driven cyberphysical systems for climate change risk mitigation and adaptation. To effectively and more rapidly realize the Intelligent Decarbonation potential, the concept of AI-driven cyberphysical systems must be elevated to a global level of collaboration and coordination, fostering research and development, capacity building, as well as knowledge and technology transfer. Drawing on a multidisciplinary, international study about intelligent decarbonization use cases, this brief also highlights factors impeding the transition to carbon neutrality and risks associated with technology determinism. The importance of governance is emphasized to avoid unwanted path dependency and avert a technologysolutionist approach dominating climate policy that delivers limited results. Given only 12% of the Sustainable Development Goals have been realized, a condensed version of this policy brief was submitted to the India T20, a G20 engagement group, urging global collaboration to prioritize AIdriven CPSs.

show abstract

“…Marie − is a KGQA system for chemistry. It is part of a wider effort to develop a user-friendly interface to interact with The World Avatar (TWA)a world model built upon a dynamic KG with the aim to interoperate across heterogeneous ontologies and disparate domains, including not just chemistry but also power systems, 3D models of cities and landscapes, among others . Interactions with TWA are facilitated by agents, which are applications and services capable of performing various operations upon the underlying KG.…”

Section: Introductionmentioning

confidence: 99%

Leveraging Text-to-Text Pretrained Language Models for Question Answering in Chemistry

Tran,

Pascazio,

Akroyd

et al. 2024

ACS Omega

Self Cite

View full text Add to dashboard Cite

In this study, we present a question answering (QA) system for chemistry, named Marie, with the use of a text-to-text pretrained language model to attain accurate data retrieval. The underlying data store is "The World Avatar" (TWA), a general world model consisting of a knowledge graph that evolves over time. TWA includes information about chemical species such as their chemical and physical properties, applications, and chemical classifications. Building upon our previous work on KGQA for chemistry, this advanced version of Marie leverages a fine-tuned Flan-T5 model to seamlessly translate natural language questions into SPARQL queries with no separate components for entity and relation linking. The developed QA system demonstrates competence in providing accurate results for complex queries that involve many relation hops as well as showcasing the ability to balance correctness and speed for real-world usage. This new approach offers significant advantages over the prior implementation that relied on knowledge graph embedding. Specifically, the updated system boasts high accuracy and great flexibility in accommodating changes and evolution of the data stored in the knowledge graph without necessitating retraining. Our evaluation results underscore the efficacy of the improved system, highlighting its superior accuracy and the ability in answering complex questions compared to its predecessor.

show abstract

The World Avatar—A World Model for Facilitating Interoperability

Cited by 11 publications

References 25 publications

From consistency to flexibility: Handling spatial information schema thanks to a middleware in a 3D city modeling context

From consistency to flexibility: Handling spatial information schema thanks to a middleware in a 3D city modeling context

International Collaboration: Mainstreaming Artificial Intelligence and Cyberphysical Systems for Carbon Neutrality

Leveraging Text-to-Text Pretrained Language Models for Question Answering in Chemistry

Contact Info

Product

Resources

About