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Enrico Daga has a PhD in Artificial Intelligence and has carried out research on Web Semantics and Ontology Engineering since 2008, first at the Italian National Research Council (CNR) and then at the Knowledge Media Institute of The Open University in the UK, where he leads the OU Linked Data initiative. After playing key roles in R&D projects related to the development of intelligent systems for Ontology Engineering (NeOn) and Smart Cities (MK: Smart).

His research is exploring the application of knowledge-based methods to support scholarship in the humanities and developing novel data curation pipelines through intelligent processing of licence and policy metadata.

A former student of Music and Performing Arts (University RomaTRE), Enrico is founder and chair of the WHiSe Workshop on Humanities in the Semantic Web (http://whise.kmi.open.ac.uk). Currently, he is Technical Director of the award-winning MK: Data Hub and the related CityLABS project, a ERDF initiative aiming at supporting the development of SMEs in the SEMLEP region through knowledge transfer from the academy to industry.

Keys: "linked data" data.open.ac.uk

Team: Jason Carvalho, Alba Morales Tirado

News

03 Dec 2021


16 Sep 2021


06 Apr 2021


14 Jan 2021


05 Oct 2020

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Publications

Publications | Visit External Site for Details  

Morales Tirado, A., Daga, E. and Motta, E. (2021) Reasoning on health condition evolution for enhanced detection of vulnerable people in emergency settings, K-CAP '21: Proceedings of the 11th on Knowledge Capture Conference, Virtual Event, USA

Publications | Visit External Site for Details Publications | doi 

Daga, E., Asprino, L., Mulholland, P. and Gangemi, A. (2021) Facade-X: An Opinionated Approach to SPARQL Anything Volume 53: Further with Knowledge Graphs, eds. Mehwish Alam,Paul Groth,Victor de Boer,Tassilo Pellegrini,Harshvardhan J. Pandit, 53, pp. 58-73, IOS Press

Publications | Visit External Site for Details  

Chiatti, A., Motta, E., Daga, E. and Bardaro, G. (2021) Fit to Measure: Reasoning about Sizes for Robust Object Recognition, Proceedings of the AAAI2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), International Virtual Event

Publications | Visit External Site for Details  

Daga, E., Meroño-Peñuela, A. and Motta, E. (2021) Sequential Linked Data: the State of Affairs, pp. (In press)

Publications | Visit External Site for Details  

Mulholland, P., Daga, E., Daquino, M., Díaz-Kommonen, L., Gangemi, A., Kulfik, T., Wecker, A., Maguire, M., Peroni, S. and Pescarin, S. (2021) Enabling multiple voices in the museum: Challenges and approaches, Digital Culture & Society, pp. (In Press)

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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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