Enrico Daga's profile document
Description for Enrico Daga
Enrico Daga
Enrico Daga
Enrico
Daga
Senior Research Fellow
enricodaga
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, where he obtained a PhD. Enrico is currently Senior Research Fellow in KMi.
RESEARCH
His research is exploring novel methods for Knowledge Graph construction (SPARQL Anything) and infrastructure, with particular focus on metadata management, policies and process knowledge; applied to data-intensive scenarios in the smart cities, healthcare, humanities, and cultural heritage domains. He has so far supervised three PhD students to completion.
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).
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The Open University account for Enrico Daga
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Enrico Daga's membership at KMi
Enrico Daga on LinkedIn
Enrico Daga on SlideShare
@enridaga (Enrico Daga on Twitter)
Enrico Daga's participation in Linking Islands of Data - A UK/USA AHRC network
Linking Islands of Data - A UK/USA AHRC network
Linking Islands of Data - A UK/USA AHRC network
2019-05-15
Linking Islands of Data will create a research network based around centres of excellence that study the Classical World on both sides of the Atlantic
Linking Islands of Data will create a research network based around centres of excellence that study the Classical World on both sides of the Atlantic and build upon the legacy of the National Endowment for Humanities funded Linked Ancient World Data Institute.
This network will focus on classics, archaeology, epigraphy and museology and create a variety of digital and analogue outputs - including an application programming interface (API), documentation and guidance for best practice in the use of Linked Open Data and high resolution document handling - using established and emergent technological methods and communities of practice based around 3 workshops held at the Fitzwilliam Museum, Brown University and Open Context.
Enrico Daga's participation in DiscOU
DiscOU
DiscOU
Discovering Open University Content from Other Online Resources
There is a growing base of open educational content being made available online. At The Open University, this currently includes 650 units of course material on OpenLearn and 3,800 audio and video podcasts. With such content available, discoverability of educational resources becomes a major challenge.
DiscOU is a resources discovery engine relying on a semantic index of Open University Open Content. It semantically analyse the content of an online resource, and match it by similarity to other existing Open University content to retrieve the most relevant pieces. It currently works with BBC programme pages.
Enrico Daga's participation in MK:Smart
MK:Smart
MK:Smart
2014-01-01
2016-12-31
An innovation programme developing sustainable smart solutions for Milton Keynes
Enrico Daga's participation in Listening Experience Database
Listening Experience Database
Listening Experience Database
2013-01-01
2018-03-31
A crowd-sourced linked data resource of documented experiences of listening to music
The Listening Experience Database (LED) project is a collaboration between the Open University and the Royal College of Music. It has been awarded a £0.75m grant over three years from the Arts and Humanities Research Council.
The main purpose of the project is to collate people�s experiences of listening to music. It will also be used to shed light on a wide range of issues, including musical performance and reception, particularly in relation to the RCM's expertise in Western musical traditions.
The project focuses on the building of a large database of personal listening experiences, relating to any culture and repertoire up to the present. It looks at sources such as diaries, memoirs, letters and oral history.
LED is entirely managed and published as Linked Data, and reuses data from external sources (including DBpedia, the British National Bibliography and MusicBrainz) as part of its life-cycle.
Enrico Daga's participation in CityLABS
CityLABS
CityLABS
2017-06-01
2019-05-31
Research and Innovation in the Digital Economy
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. Particularly focused on data-driven and IoT developments, the CityLabs team will support SMEs with a programme of Urban Business Lab, Tech Design & Prototype Evaluation, Concept Development Grants for developing concepts and access to the MK Data Hub.
Enrico Daga's participation in SciRoc
SciRoc
SciRoc
2018-02-01
2021-02-28
Bringing Robots into Smart Cities through Competitions
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.
A key novelty of the SciRoc project is the introduction of robots in smart cities in ERL challenges and, in particular, the ERL Smart Cities, whose aim is to show how robots will integrate in the cities of the future as physical agents living in them. This adds a new challenge to ERL, which will be pursued through the organisation of two Smart CIties RObotics Challenges (The SciRoc Challenges) in years 2019 and 2021.
Leveraging the functionalities developed within ERL Consumer, ERL Professional and ERL Emergency, robots will be required to cooperate with the smart city infrastructure and interact with its citizens, accomplishing tasks of different nature in different scenarios – assisting customers, providing professional services and supporting during emergency situations.
Enrico Daga's participation in FindLEr
FindLEr
FindLEr
Detects traces of listening experiences in texts
FindLEr detects traces of listening experiences in texts.
Users can provide a source book to scan and obtain as result a annotated version of the text where paragraphs mentioning potential listening experiences are highlighted. The user can browse the result as a list or inline with the original text. The system allows for additional tuning by offering a "skepticism" handle. See it in action: https://led.kmi.open.ac.uk/discovery
Enrico Daga's participation in The Open University Linked Data
The Open University Linked Data
The Open University Linked Data
The home of open linked data from The Open University.
data.open.ac.uk is the home of open linked data from The Open University. We interlink and expose data available in various institutional repositories of the University and make it available openly for reuse.
The data can be queried through a SPARQL endpoint.
Currently, the datasets relate the publications, qualifications, courses and Audio/Video material produced at the Open University, as well as the people involved in making them.
All these data are available through standard formats (RDF and SPARQL) and are (in most cases) available under an open license (see details).
Enrico Daga's participation in SPICE
SPICE
SPICE
2020-05-01
2023-04-30
Social cohesion, Participation, and Inclusion through Cultural Engagement
The aim of the SPICE project is to develop new technologies and methods that enable groups at risk of exclusion to actively participate in culture through a process we term citizen curation.
Citizens will be supported in taking part in curatorially-inspired activities such as collecting, storytelling and exhibition design. The technology developed in the project will enable citizen groups to share their own collective view on life through culture and heritage, as well as understand and appreciate the alternative cultural viewpoints of other groups.
The process of citizen curation will be co-designed and evaluated through case studies in five countries: Finland, Ireland, Spain, Italy and Israel. In each case study a museum serves as a hub to support citizen curation with specific target groups including older people, asylum seekers, young people living with illness, Deaf people and children from different religious and secular communities.
The SPICE project is supported by the European Commission Horizon 2020 Programme.
Enrico Daga's participation in MK:5G
MK:5G
MK:5G
2019-09-15
2021-04-01
MK:5G Connecting Communities
The MK:5G project is a new initiative which focuses on the deployment of a 5G infrastructure designed exclusively to support research and development in the context of the smart city agenda in Milton Keynes. The envisaged 5G network will cover Central MK, as well as key sites such as the Stadium, Bletchley & CMK rail stations, MK Hospital, the local universities, key junctions on the M1 and a number of rural communities. Building on the work carried out in the MK:Smart project, the project will also deploy a dedicated data exchange facility, which will support trial applications across three sectors: Mobility, Health & Wellbeing, and Energy.
The project is led by Milton Keynes Council and is funded by the South East Midlands Local Enterprise Partnership (SEMLEP). The MK:5G Consortium also includes The Open University, BT, Huawei, CityFibre, TechMahindra, the Satellite Applications Catapult and the Connected Places Catapult. The main role of The Open University is to enhance the Data Hub infrastructure developed in MK:Smart to support the novel test cases associated with this initiative.
Enrico Daga's participation in Contento
Contento
Contento
Contento is a tool for bottom-up ontology drafting
Contento is a data driven ontology construction kit, based on Formal Concept Analysis (FCA). Contento supports exploration and analysis of formal contexts, as well as a method to generate, annotate and prune concept hierarchies.
Enrico Daga's participation in Licence Picker
Licence Picker
Licence Picker
A tool for selecting the right licence for your data.
Licences are a crucial aspect of the information publishing process in the web of (linked) data. Recent work on modeling of policies with semantic web languages (RDF, ODRL) gives the opportunity to formally describe licences and reason upon them. However, choosing the right licence is still challenging. Particularly, understanding the number of features - permissions, prohibitions and obligations - constitute a steep learning process for the data provider, who has to check them individually and compare the licences in order to pick the one that better fits her needs. The objective of the technology is to reduce the effort required for licence selection. We argue that an ontology of licences, organized by their relevant features, can help providing support to the user. Developing an ontology with a bottom-up approach based on Formal Concept Analysis, the process of licence selection can be simplified significantly and reduced to answering an average of three/five key questions.
Enrico Daga's participation in Polifonia
Polifonia
Polifonia
2021-01-01
2024-04-01
A digital harmoniser of European musical heritage
Polifonia, a new 3M€ project funded by the EU Horizon 2020 Programme will run for the next 40 months to recreate the connections between music, people, places and events from the sixteenth century to the modern-day. These findings will be available to everyone as an interconnected global database on the web and will enhance our understanding of European musical heritage.
With the help of Artificial Intelligence, Polifonia will analyse sounds, texts and musical scores to recreate the history of European musical heritage through people, events, languages, and places.
Polifonia will help scholars in studying how music changed and reacted to the social and political environment over the past six centuries, providing a vast resource to uncover these phenomena, systematically: a knowledge graph - a network of interconnected data from all the main musical heritage sources with one single point of access. The Polifonia consortium is an interdisciplinary team of passionate researchers and music lovers: computer scientists, anthropologists and ethnomusicologists, historians of music, linguists, musical heritage archivists, cataloguers and administrators, and creative professionals.
Enrico Daga's participation in IMMA Viewpoints
IMMA Viewpoints
IMMA Viewpoints
2021-07-07
Find out more about IMMA artworks. How do IMMA artworks make you think? How do they make other people think?
IMMA Viewpoints is a mobile web application that encourages visitors to share their own response to artworks in the grounds of the Irish Museum of Modern Art (IMMA). Visitors are encouraged to answer different questions related to an artwork such as how it makes them feel, what other people would think of the artwork, or how they would feel if it appeared in their house or garden. Visitors can also view how others have responded to the artworks, either through the web application or a display screen at the museum.
IMMA Viewpoints is part of our research into developing methods and tools to support Citizen Curation, in which citizens use curatorially-inspired approaches to develop their own interpretations of art, share their own perspective and appreciate the perspectives of others.
IMMA Viewpoints was developed in collaboration with the Irish Museum of Modern Art (IMMA) as part of the EU H2020 funded SPICE project.
Enrico Daga's participation in SPARQL Anything
SPARQL Anything
SPARQL Anything
Query non-RDF resources with SPARQL.
SPARQL Anything uses a unique data schema called Facade-X.
Facade-X is a simplistic meta-model that allows transformers to produce RDF from diverse data sources without the need of a domain vocabulary.
Enrico Daga's participation in BASIL
BASIL
BASIL
Building Apis SImpLy from sparql endpoints
BASIL is designed as middleware system that mediates between SPARQL endpoints and applications.
With BASIL you can build Web APIs on top of SPARQL endpoints.
BASIL stores SPARQL queries and builds APIs with standard and customizable formats.
Enrico Daga's participation in IMMA Deep Viewpoints
IMMA Deep Viewpoints
IMMA Deep Viewpoints
Supporting Citizen Curation at the Irish Museum of Modern Art (IMMA)
Deep Viewpoints is a web application to support Citizen Curation. The app is used to author "scripts" that guide the interpretation process, whether on-site or online, through a sequence of stages comprising artworks, contextual information and questions. Visitors can use the scripts to see the museum as curated from different viewpoints.
Deep Viewpoints has been used at the Irish Museum of Modern Art (IMMA) to enable a broad range of communities to develop their personal responses to the IMMA collection and exhibitions, as well as author new scripts that curate the museum experience in a way that reflects their own concerns and perspectives.
Participating groups have included migrant women, Black and Irish and Black Queer advocacy groups, asylum seekers, healthcare workers, young people in conflict with the law and children and young people living with illnesses.
IMMA Deep Viewpoints was developed in collaboration with the Irish Museum of Modern Art (IMMA) as part of the EU H2020 funded SPICE project.