Background
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.
Research
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.
Activity
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
Enrico is Research Fellow at the Intelligent Systems and Data Science (ISDS) group of the Knowldge Media Institute (KMi), The Open University.
SPARQL Anything
SPARQL Anything uses a unique data schema called Facade-X to allow users to query non-RDF resources as-if they are RDF.
Polifonia
Polifonia is an EU H2020-funded project which develops a Knowledge Graph of European Musical Cultural Heritage.
SPICE
Social Cohesion, Participation, and Inclusion through Cultural Engagement (SPICE) is an EU-funded project dedicated to citizen curation of cultural heritage.
SciRoc
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.
ISDS
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
LED
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.
FindLEr
Detects traces of listening experiences in texts to support curators of the Listening Experience Database project.
https://led.kmi.open.ac.uk/findler
CityLABS
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.
BASIL
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.
https://data.open.ac.uk/licence-picker
Contento
Contento is a tool for bottom-up ontology drafting based on Formal Concept Analysis.
https://data.open.ac.uk/contento
MK:Smart
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.
Open Knowledge Graph
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.
data.CNR.it
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.
http://extremedesign.sourceforge.net/
ODP.org
OntologyDesignPatterns.org is a Semantic Web portal dedicated to ontology design patterns (ODPs), currently run by the ODPA.
https://ontologydesignpatterns.org
NeOn
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.
Publications
Selected publications. A complete list can be accessed on Google Scholar.
Facade-X: an Opinionated Approach to SPARQL Anything
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)
Sequential Linked Data: the State of Affairs
We study the efficiency of implementing atomic read-write operations for Semantic Web lists in SPARQL with five typical RDF data models.
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)
Analysis and design of computational news angles
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).
Effective Use of Personal Health Records to Support Emergency Services
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
Capturing themed evidence, a hybrid approach
In this paper, we coin the expression themed evidence, to refer to traces of a fact or situation relevant to a theme of interest and study the problem of identifying them in texts.
In: Tenth International Conference on Knowledge Capture (K-Cap), 2019
Modelling and Querying Lists in RDF. A Pragmatic Study
We survey different solutions for modelling sequences in RDF, and propose a pragmatic approach for assessing their impact on data availability.
In: Proceedings of the 3rd Workshop on Querying the Web of Data (QuWeDa), 2019
Linked Data for the Humanities: methods and techniques
A DH2019 tutorial organised in three sessions: (1) Linked Data in a nutshell; (2) Producing and consuming Linked Data; (3) Hybrid methods for working with texts and LD.
In: Digital Humanities 2019: Complexities (Pierazzo, Elena and Ciotti, Fabio eds.), Uthrect, 2019
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
An incremental learning method to support the annotation of workflows with data-to-data relations
An rule association mining technique that allows to compensate the cold start problem due to the lack of a training set of annotated workflows.
In: European Knowledge Acquisition Workshop, pp. 129-144. Springer, Cham, 2016
WHiSe Workshop
Proceedings of the 1st Workshop on Humanities in the Semantic Web co-located with 13th ESWC Conference 2016 (ESWC 2016).
CEUR Workshop Proceedings Vol. 1608, 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
Propagation of policies in rich data flows.
Provides a definition of Policy Propagation Rule and a methodology to acquire and manage them, based on the Datanode ontology.
In: Proceedings of the 8th International Conference on Knowledge Capture, p. 5. ACM, 2015
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
enrico.daga@open.ac.uk
+44 (0) 1908 654887