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Enrico DagaMember status icon

Senior Research Fellow
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Enrico's research is exploring novel methods for Knowledge Graph construction (SPARQL Anything) and infrastructure (with particular focus on policies and process knowledge). Application areas include smart cities, healthcare, humanities, and cultural heritage..

Keys: Knowledge Graphs, Policies and Processes, Smart Cities, Humanities

Team: Jason Carvalho, , ,

News

09 Dec 2022


16 Nov 2022


24 Oct 2022


13 Jun 2022


27 May 2022

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Publications

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Carvalho, J., Daga, E., Asprino, L., Gangemi, A., Maguire, M., Mulholland, P., Stoneman, A. and Uwasomba, C. (2023) SPICE Linked Data Hub - Data infrastructure and tools to support Citizen Curation, ExICE - Extended Intelligence for Cultural Engagement, Bologna

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Daga, E. and Groth, P. (2023) Data journeys: explaining AI workflows through abstraction, Semantic Web, pp. (Early access)

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, a. and Daga, E. (2022) Neuro-symbolic learning for dealing with sparsity in cultural heritage image archives: an empirical journey, Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG), co-located with the 21st International Semantic Web Conference (ISWC), Virtual

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, a., Daga, E. and Motta, E. (2022) Towards a Knowledge Graph of Health Evolution, 23rd International Conference on Knowledge Engineering and Knowledge Management, Bozen-Bolzano, Italy

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, a., Bardaro, G., Motta, E. and Daga, E. (2022) A Spatial Reasoning Framework for Commonsense Reasoning in Visually Intelligent Agents, Proceedings of the 8th International Workshop on Artificial Intelligence and Cognition (AIC 2022), Ɩrebro, Sweden

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Tech Reports

View AbstractDownload PDF

Extracting URI Patterns from SPARQL Endpoints
Techreport ID: kmi-15-01
Date: 2015
Author(s): Mathieu d'Aquin,Alessandro Adamou,Enrico Daga,Nicolas Jay

View AbstractDownload PDF

Describing semantic web applications through relations between data nodes
Techreport ID: kmi-14-05
Date: 2014
Author(s): Enrico Daga,Mathieu d'Aquin,Aldo Gangemi,Enrico Motta

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Research Themes

Latest Seminar
Dr. Siān Lindley
Microsoft Research Cambridge

Actions and their Consequences: Implicit Interactions with Machine Learned Knowledge Bases

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