Dr Enrico Daga

Research Fellow

Enrico Daga has carried out R&D on Web Semantics first at the Italian National Research Council (CNR) and then at the Knowledge Media Institute of The Open University in the UK. He has a PhD in Artificial Intelligence and is currently Research Fellow with the Intelligent Systems and Data Science group of KMi.

After playing key roles in projects developing intelligent systems for Ontology Engineering (NeOn) and Smart Cities (MK:Smart), his current research is exploring novel methods for data curation (policies and process knowledge) and the application of computational, knowledge-based methods in the humanities.

Enrico is Technical Director and Principal Investigator (PI) for the OU in the EU-funded H2020 project Polifonia and co-investigator and work package leader in the H2020 project SPICE.
He is Technical Director of the OU Open Knowledge Graph and of the MK Data Hub, a Smart City Data Infrastructure supporting research (SciRoc - robots in Smart Cities) and innovation (CityLABS project).
Enrico is co-founder of the WHiSe Workshop on Humanities in the Semantic Web and co-chair of the Artificial Intelligence and Music (AIM) DARIAH WG.

Keywords

"linked data" data.open.ac.uk


Publications

Mulholland, Paul, Daga, Enrico, Daquino, Marilena, Díaz-Kommonen, Lily, Gangemi, Aldo, Kulfik, Tsvi, Wecker, Alan, Maguire, Mark, Peroni, Silvio and Pescarin, Sofia ,(2021). Enabling multiple voices in the museum: Challenges and approaches. Digital Culture & Society (In Press).

Daga, Enrico, Meroño-Peñuela, Albert and Motta, Enrico(2021). Sequential Linked Data: the State of Affairs. Semantic Web – Interoperability, Usability, Applicability (Early access).

Chiatti, Agnese, Motta, Enrico, Daga, Enrico and Bardaro, Gianluca(2020). Fit to Measure: Reasoning about Sizes for Robust Object Recognition. In: Proceedings of the AAAI2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021) (Martin, Andreas; Hinkelmann, Knut; Fill, Hans-Georg; Gerber, Aurona; Lenat, Doug; Stolle, Reinhard and van Harmelen, Frank eds.), 22-24 Mar 2021, International Virtual Event.

Chiatti, Agnese, Motta, Enrico and Daga, Enrico(2020). Towards a Framework for Visual Intelligence in Service Robotics:Epistemic Requirements and Gap Analysis. In: Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning (KR 2020), 12-18 Sep 2020.

Bruni, Luis Emilio,Daga, Enrico, Damiano, Rossana, Diaz, Lily, Kuflik, Tsvi, Lieto, Antonio, Gangemi, Aldo,Mulholland, Paul, Peroni, Silvio, Pescarin, Sofia and Wecker, Alan ,(2020). Towards Advanced Interfaces for Citizen Curation. In: AVI2CH 2020: Workshop on Advanced Visual Interfaces and Interactions in Cultural Heritage, 29 Sep 2020, Ischia, Italy.

Morales Tirado, Alba, Daga, Enrico and Motta, Enrico(2020). Effective use of personal health records to support emergency services. In: Knowledge Engineering and Knowledge Management. EKAW 2020 (Keet, C. M. and Dumontier, M. eds.), Lecture Notes in Computer Science, pp. 54–70.

Motta, Enrico, Daga, Enrico, Opdahl, Andreas L. and Tessem, Bjørnar ,(2020). Analysis and Design of Computational News Angles. IEEE Access, 8 pp. 120613–120626.

Daga, Enrico and Motta, Enrico(2019). Challenging knowledge extraction to support the curation of documentary evidence in the humanities. In: Third International Workshop on Capturing Scientific Knowledge (Sciknow). Collocated with the tenth International Conference on Knowledge Capture (K-CAP) (Garijo, Daniel; Markovic, Milan; Groth, Paul; Santana, Idafen and Belhajjame, Khalid eds.), Los Angeles, CA, USA.

Morales Tirado, Alba, Daga, Enrico and Motta, Enrico (ISCRAM 2019) : Posters & Demos, Valencia, Spain, pp. 1411–1413.

Daga, Enrico and Motta, Enrico(2019). Capturing themed evidence, a hybrid approach. In: Proceedings of the 18th International Conference on Knowledge Capture, K-Cap, ACM, pp. 93–100.