Enrico Daga

Technologist and Researcher


Enrico Daga has a PhD in Artificial Intelligence and 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, where he leads the OU Linked Data initiative.


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-based methods in the humanities.


Currently, he is Technical Director of the 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. Enrico is founder of the WHiSe Workshop on Humanities in the Semantic Web.

Projects and Activities

Enrico is member of the Intelligent Systems and Data Science Group of the Knowldge Media Institute (KMi), The Open University.


SciRoc is a EU-H2020 funded project supporting the European Robotics League (ERL), and whose aim is to bring all ERL tournaments in the context of smart cities.



The Intelligent Systems and Data Science team carries out research in a variety of areas relevant to the development of user-centric, intelligent, data-intensive solutions



An open and freely searchable database that brings together a mass of data about people’s experiences of listening to music of all kinds, in any historical period and any culture.



Detects traces of listening experiences in texts to support curators of the Listening Experience Database project.



CityLabs is a place for SMEs to work with academic and industry leaders to develop concepts into prototypes for new products and services in the digital economy.


MK Data Hub

The MK Data Hub was developed as part of MK:Smart, an initiative to put data at the heart of the smart city.



With BASIL you can build Web APIs on top of SPARQL endpoints, with standard and customizable output formats.


Licence Picker

A tool based on an Ontology for selecting the appropriate licence for your published data, with only few short questions.



Contento is a tool for bottom-up ontology drafting based on Formal Concept Analysis.



A large collaborative initiative, partly funded by HEFCE and led by The Open University, which is developing innovative solutions to support economic growth in Milton Keynes.


OU Linked Data

The home of open linked data from The OU. We interlink and expose data available in various institutional repositories of the University and make it available openly for reuse.



An initiative of the Italian National Research Council aimed to provide public access to the information of the CNR organization.


XD Tools

eXtreme Design (XD) is a framework for pattern based ontology design developed in the context of the NeOn project.



OntologyDesignPatterns.org is a Semantic Web portal dedicated to ontology design patterns (ODPs), currently run by the ODPA.



Co-funded by the European Commission, NeOn's aim is to advance the state of the art in using ontologies for large-scale semantic applications in the distributed organizations.



Selected publications. A more complete list an be accessed on Google Scholar.

Reasoning with data flows and policy propagation rules

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

Characterizing the landscape of musical data on the Web: State of the art and challenges

A survey of the landscape of musical data on the Web, available as a Linked Open Dataset: the musoW dataset of catalogued musical resources.

In: Workshop on Humanities in the Semantic Web - WHiSe II, 2017

The Open University Linked Data – data.open.ac.uk

The article reports on the evolution of data.open.ac.uk, the Linked Open Data platform of the Open University, from a research experiment to a data hub for the open content of the University.

In: Semantic Web, vol. 7, no. 2, 2016

Addressing Exploitability of Smart City Data

We present a methodology to enable Smart City Data Hubs to better address exploitability by considering the way policies propagate across the data flows applied in the system.

In: IEEE International Smart Cities Conference (ISC2), 2016

A Bottom-Up Approach for Licences Classification and Selection

Developing an ontology with a bottom-up approach based on Formal Concept Analysis, we show how the process of licence selection can be simplified significantly.

In: Proceedings of the International Workshop on Legal Domain And Semantic Web Applications (LeDA-SWAn), 2015

A BASILar Approach for Building Web APIs on top of SPARQL Endpoints

The paper proposes BASIL, an approach to build Web APIs on top of SPARQL endpoints, in order to benefit of the advantages from both Web APIs and Linked Data approaches.

In: Workshop on Services and Applications over Linked APIs and Data, 2015

Pattern-based ontology design

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

Semantic scout: Making sense of organizational knowledge

RDF-OWL datasets generated on the basis of a highly modular, pattern-based ontology are created, enriched by means of inferences and NLP techniques, and are integrated with linked open data.

EKAW: Knowledge Engineering and Management by the Masses, 2010

eXtreme design with content ontology design patterns

We present eXtreme Design with Content Ontology Design Patterns (XD): a collaborative, incremental, iterative method for pattern-based ontology design..

Workshop on Ontology Patterns (WOP), 2009

Knowledge Media Institute, The Open University
Walton Hall, Milton Keynes, MK7 6AA, United Kingdom


+44 (0) 1908 654887