
Dr Enrico Daga
Senior Research Fellow
Biography
Professional biography
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 Computer Science and is currently Research Fellow at the OU Knowledge Media Institute.
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 Knowledge Graphs in the humanities.
He is currently engaged in the EU-funded projects MultiPod and ClimateSense. Before, he was engaged in two EU-funded projects: SPICE -- as co-investigator, and Polifonia -- as Technical Director and Principal Investigator for the OU.
He is the Technical Director of the OU Open Knowledge Graph and the MK Data Hub, a Smart City Data Infrastructure supporting research (SciRoc—robots in Smart Cities) and innovation (CityLABS project). Passionate about AI and its relevance for Humanities research, Enrico is the founder of the WHiSe Workshop on Humanities in the Semantic Web and the Artificial Intelligence and Music (AIM) DARIAH WG.
Research interests
Enrico’s research is exploring novel methods for knowledge acquisition and curation and the application of Knowledge Graphs in domains such as Smart Cities and Cultural Heritage.
Current research interests include:
- Knowledge graphs construction and applications
- Hybrid methods for Knowledge Extraction
- AI-supported Scholarship in the Humanities
- Computational Policies (Licences, Digital Rights)
- Privacy-aware Intelligent Systems
- Heterogeneous data management infrastructures
Projects
Climate Misinformation Surveillance with Multidimensional GIS
This research project aims to tackle the pressing issue of misinformation, especially concerning climate change, by leveraging the powers of GIS. Despite numerous efforts to combat misinformation, its prevalence continues to rise, influencing public perceptions and derailing climate policy debates and decisions. This proposal identifies and addresses several key challenges: the absence of effective tools for geospatial mapping and analyses of climate misinformation alongside climate data, the limited understanding of how climate misinformation spreads geographically, and the lack of effective tools to visualise the interplay of geospatial, temporal, and topical patterns of climate misinformation. To address these challenges, we propose the development of a Multidimensional Geographic Information System (GIS). This GIS will integrate climate data (temperature, precipitation, wind, carbon emission), climate misinformation data from fact-checkers and traditional and social media platforms, analyse its correlations with geographical and climate information, and enhance our predictive capabilities to counter the spread of misinformation effectively and proactively. The next three Conference Of the Parties (COP) will be used as use cases to train and evaluate our research and outcomes. This project, ClimateSense, aims to maximise the capabilities of GIS, enabling it to significantly influence societal understanding and policymaking in the face of climate change and misinformation.
Publications
Book
Book Chapter
PySPARQL Anything Showcase (2025)
Journal Article
Process Knowledge Graphs (PKG): Towards unpacking and repacking AI applications (2025)
Introduction to the Special Issue on Extended Intelligence for Cultural Engagement (2024)
Integrating Citizen Experiences in Cultural Heritage Archives with a Linked Non-Open Data Hub (2024)
Citizen Experiences in Cultural Heritage Archives: A Data Journey (2024)
Data journeys: explaining AI workflows through abstraction (2024)
Semantic Web technologies and bias in artificial intelligence: A systematic literature review (2023)
CLEF. A Linked Open Data native system for Crowdsourcing (2023)
Editorial of the Special issue on Cultural heritage and semantic web (2023)
Introducing a Smart City Component in a Robotic Competition: A Field Report (2022)
Sequential Linked Data: the State of Affairs (2021)
Uncomfortable Revelations: can citizen curation widen access to museums? (2021)
Analysis and Design of Computational News Angles (2020)
Enabling multiple voices in the museum: Challenges and approaches (2020)
Reasoning with Data Flows and Policy Propagation Rules (2018)
Presentation / Conference
Investigating Vividness Bias in Language Models Through Art Interpretations (2024)
Enhancing Hate Speech Annotations with Background Semantics (2024)
Supporting the End-User Curation of Cultural Heritage Knowledge Graphs (2024)
Extracting licence information from web resources with a Large Language Model (2024)
Knowledge-Grounded Target Group Language Recognition in Hate Speech (2023)
Musical Meetups: a Knowledge Graph approach for Historical Social Network Analysis (2023)
2nd International Workshop on Multisensory Data and Knowledge (MDK) (2023)
SPICE Linked Data Hub - Data infrastructure and tools to support Citizen Curation (2023)
Deep Viewpoints: Scripted Support for the Citizen Curation of Museum Artworks (2023)
Citizen Experiences in Cultural Heritage Archives: a Data Journey (2023)
Knowledge Graph Construction From MusicXML: An Empirical Investigation With SPARQL Anything (2022)
A Spatial Reasoning Framework for Commonsense Reasoning in Visually Intelligent Agents (2022)
Estimating Ground Truth in a Low-labelled Data Regime: A Study of Racism Detection in Spanish (2022)
Towards a Knowledge Graph of Health Evolution (2022)
Supporting Online Toxicity Detection with Knowledge Graphs (2022)
HECON: Health Condition Evolution Ontology (2022)
CONRAD - Health Condition Radar: an Intelligent System for Emergency Support (2022)
Robots with Commonsense: Improving Object Recognition through Size and Spatial Awareness (2022)
Fit to Measure: Reasoning about Sizes for Robust Object Recognition (2021)
Effective use of personal health records to support emergency services (2020)
Towards Advanced Interfaces for Citizen Curation (2020)
List.MID: A MIDI-Based Benchmark for Evaluating RDF Lists (2019)
Modelling and Querying Lists in RDF. A Pragmatic Study (2019)
Capturing themed evidence, a hybrid approach (2019)
Linked Data for the Humanities: methods and techniques (2019)
Towards a privacy aware information system for emergency response (2019)
The Semantic Web MIDI Tape: An Interface for Interlinking MIDI and Context Metadata (2018)
A Large-Scale Semantic Library of MIDI Linked Data (2018)
Propagating Data Policies: a User Study (2017)
Characterizing the Landscape of Musical Data on the Web: State of the Art and Challenges (2017)
DKA-robo: dynamically updating time-invalid knowledge bases using robots (2016)
Update of time-invalid information in Knowledge Bases through Mobile Agents (2016)
Addressing exploitability of Smart City data (2016)
Bottom-Up Ontology Construction with Contento (2015)
BASIL: A Cloud Platform for Sharing and Reusing SPARQL Queries as Web APIs (2015)
A Bottom-Up Approach for Licences Classification and Selection (2015)
Propagation of Policies in Rich Data Flows (2015)
A BASILar Approach for Building Web APIs on top of SPARQL Endpoints (2015)
Dealing with diversity in a smart-city datahub (2014)
Early analysis and debugging of linked open data cubes (2014)
Towards a theoretical foundation for the harmonization of linked data (2012)
Thesis
Knowledge Components and Methods for Policy Propagation in Data Flows (2018)