Search Results - subject:"Knowledge graph"

DTwin-TEC: an AI-based TEC district digital twin and emulating security events by leveraging knowledge graph

Wajid, Mohammad Saif; Terashima-Marin, Hugo; Najafirad, … - In: Journal of open innovation : technology, market, and … 10 (2024) 2, pp. 1-16

, leveraging a combination of machine learning and knowledge graph approaches. Therefore, in this paper, we developed the Digital … the Knowledge Graph models for emulating security events with dense video captioning. This is done by designing an AI …-based TEC District Digital Twin for emulating security events by leveraging knowledge graph. The proposed approach provides data …

Persistent link: https://www.econbiz.de/10014583905

Towards knowledge graph reasoning for supply chain risk management using graph neural networks

Kosasih, Edward Elson; Margaroli, Fabrizio; Gelli, Simone; … - In: International journal of production research 62 (2024) 15, pp. 5596-5612

Persistent link: https://www.econbiz.de/10015053713

A semantic web approach to land use regulations in urban planning: The OntoZoning ontology of zones, land uses and programmes for Singapore

Silvennoinen, Heidi; Chadzynski, Arkadiusz; Farazi, Feroz; … - In: Journal of Urban Management 12 (2023) 2, pp. 151-167

specific land uses) in Singapore. We link the ontology to geospatial data stored in a knowledge graph, which allows executing …

Persistent link: https://www.econbiz.de/10014285726

A semantic web approach to land use regulations in urban planning : the OntoZoning ontology of zones, land uses and programmes for Singapore

Silvennoinen, Heidi; Chadzynski, Arkadiusz; Farazi, Feroz; … - In: Journal of urban management 12 (2023) 2, pp. 151-167

specific land uses) in Singapore. We link the ontology to geospatial data stored in a knowledge graph, which allows executing …

Persistent link: https://www.econbiz.de/10014285027

SocioLink : leveraging relational information in knowledge graphs for startup recommendations

Xu, Ruiyun; Chen, Hailiang; Zhao, J. Leon - In: Journal of management information systems : JMIS 40 (2023) 2, pp. 655-682

Persistent link: https://www.econbiz.de/10014302700

A hybrid deep learning approach for detecting sentiment polarities and knowledge graph representation on Monkeypox tweets

Meena, Gaurav; Mohbey, Krishna Kumar; Kumar, Sunil; … - In: Decision analytics journal 7 (2023), pp. 1-12

be helpful in healthcare analytics. We describe in this study a knowledge graph of related events based on Twitter data …

Persistent link: https://www.econbiz.de/10014497346

Is dc:subject enough? A landscape on iconography and iconology statements of knowledge graphs in the semantic web

Baroncini, Sofia; Sartini, Bruno; Van Erp, Marieke; … - In: Journal of Documentation 79 (2023) 7, pp. 115-136

Purpose In the last few years, the size of Linked Open Data (LOD) describing artworks, in general or domain-specific Knowledge Graphs (KGs), is gradually increasing. This provides (art-)historians and Cultural Heritage professionals with a wealth of information to explore. Specifically,...

Persistent link: https://www.econbiz.de/10014855441

The emergence of cognitive digital twin : vision, challenges and opportunities

Zheng, Xiaochen; Lu, Jinzhi; Kiritsis, Dimitris - In: International journal of production research 60 (2022) 24, pp. 7610-7632

Persistent link: https://www.econbiz.de/10013502485

Modular framework for similarity-based dataset discovery using external knowledge

Nečaský, Martin; Škoda, Petr; Bernhauer, David; … - In: Data Technologies and Applications 56 (2022) 4, pp. 506-535

Purpose Semantic retrieval and discovery of datasets published as open data remains a challenging task. The datasets inherently originate in the globally distributed web jungle, lacking the luxury of centralized database administration, database schemes, shared attributes, vocabulary, structure...

Persistent link: https://www.econbiz.de/10014712759

Knowledge-aware learning framework based on schema theory to complement large learning models

Xia, Long; Shen, Wenqi; Fan, Weiguo; Wang, G. Alan - In: Journal of management information systems : JMIS 41 (2024) 2, pp. 453-486

Persistent link: https://www.econbiz.de/10014583061