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.
His current 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.
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).
Before, he played key roles in projects developing intelligent systems for Ontology Engineering (NeOn) and Smart Cities (MK:Smart).
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.
Projects and Activities
Selected publications. A complete list can be accessed on Google Scholar.
We contribute a general-purpose meta-model for converting non-RDF resources into RDF: Facade-X. Our approach can be implemented by overriding the SERVICE operator and does not require to extend the SPARQL syntax.
SEMANTICS-EU Conference - In Press. (2021)
Integrating citizen experiences in cultural heritage archives: requirements, state of the art, and challenges
Citizen Curation urges to rethink the nature of computational infrastructures for cultural heritage, bringing novel challenges that include issues of distribution, authoritativeness, interdependence, privacy, and rights management.
Journal on Computing and Cultural Heritage (JOCCH) - ACM. In Press. (2021)
Semantic Web Journal, Special Issue on Benchmarking the Web of Data - IOS Press. (2021)
Towards a Framework for Visual Intelligence in Service Robotics: Epistemic Requirements and Gap Analysis
We analyze requirements for Visual Intelligence using existing frameworks for human-like Visual Intelligence in the literature, and errors emerging from object recognition trials in a real-world robotic scenario.
In: Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning (KR 2020)
In this article we introduce a formal framework for representing news angles and carry out a preliminary analysis of a number of commonly used news angles, both in terms of our formal model and also in terms of the computational reasoning capabilities that are needed to apply them effectively to real-world scenarios.
In: IEEE Access, 8, 120613-120626 (2020).
In this paper, we develop a methodology involving a knowledge engineering approach and a common-sense knowledge base to address the problem of deriving useful information from health records and, at the same time, preserve citizens’ privacy.
In: International Conference on Knowledge Engineering and Knowledge Management (EKAW), 2020
In: Tenth International Conference on Knowledge Capture (K-Cap), 2019
In: Proceedings of the 3rd Workshop on Querying the Web of Data (QuWeDa), 2019
In: Digital Humanities 2019: Complexities (Pierazzo, Elena and Ciotti, Fabio eds.), Uthrect, 2019
Data-oriented systems and applications are at the centre of current developments of the World Wide Web. In these scenarios, assessing what policies propagate from the licenses of data sources to the output of a given data-intensive system is an important problem.
In: Semantic Web, vol. 9, no. 2, 2018
In: Workshop on Humanities in the Semantic Web - WHiSe II, 2017
In: Semantic Web, vol. 7, no. 2, 2016
In: European Knowledge Acquisition Workshop, pp. 129-144. Springer, Cham, 2016
CEUR Workshop Proceedings Vol. 1608, 2016.
In: IEEE International Smart Cities Conference (ISC2), 2016
In: Proceedings of the 8th International Conference on Knowledge Capture, p. 5. ACM, 2015
In: Proceedings of the International Workshop on Legal Domain And Semantic Web Applications (LeDA-SWAn), 2015
In: Workshop on Services and Applications over Linked APIs and Data, 2015
ODPs are the main tool for performing pattern-based design of ontologies, which is an approach to ontology development that emphasizes reuse and promotes the development of a common “language” for sharing knowledge about ontology design best practices.
In: Ontology Engineering in a Networked World, 2012
EKAW: Knowledge Engineering and Management by the Masses, 2010
Workshop on Ontology Patterns (WOP), 2009
Knowledge Media Institute, The Open University
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