- Models of intangible cultural heritage
- Representing fuzziness and incompleteness in knowledge graphs
- Linked data integration in the Humanities
- Knowledge discovery for content annotation
- Ontology network optimisation
- (with Simon Brown, Helen Barlow, Carlo Allocca and Mathieu d’Aquin), "Crowdsourcing Linked Data on Listening Experiences through Reuse and Enhancement of Library Data", International Journal on Digital Libraries 20,1 (2020), pp. 61–79.
- (with Mathieu d'Aquin, Carlo Allocca and Enrico Motta), "Supporting Virtual Integration of Linked Data with just-in-time Query Recompilation, in 13th International Conference on Semantic Systems, ed. by Rinke Hoekstra et al., New York 2017, pp. 112–119.
- (with Mattia Egloff and Davide Picca), "Enabling Ontology-Based Data Access to Project Gutenberg", Workshop on Humanities in the Semantic Web (WHiSe 2020), 2020, pp. 21–32.
- (with Mathieu d'Aquin and Stefan Dietze), "Assessing the educational linked data landscape", in Proceedings of the 5th Annual ACM Web Science Conference, New York 2013, pp. 43–46.
Alessandro Adamou is a Digital Humanities Scientist at the DHLab. His
main expertise is on Data Science, primarily in the areas of the
Semantic Web, Knowledge graphs, ontology networks and their cognitive
computing applications in the Humanities. One of his core research
interests is on finding ways to formally model intangible aspects of
cultural heritage, such as experience or tradition. With the Royal
College of Music, Alessandro has developed LED, the first crowdsourced
linked dataset on evidence of listening experiences; he has also
collaborated with the Irish Traditional Musical Archive for the
LITMUS project and contributed knowledge modelling of reading
experience for the READ-IT project. He is active in several outreach
endeavours of data science for the Humanities, such as being regular
organiser and co-chair of the WHiSe workshop series (2016-present). He
has supervised doctoral research work on studying cultural contact in
early Roman Spain through Linked Data. Previously, Alessandro has held
researcher position at Insight SFI Research Centre for Data Analytics
(Galway, Ireland), The Open University (Milton Keynes, UK) and the
National Research Council (Rome, Italy), where he explored transversal
applications of Linked Data to several other domains, such as Learning
and Education, Smart Cities (for which he has won several awards and
nominations), Content Management, and Industry 4.0.
- National University of Ireland, Galway: Adjunct Lecturer (2020–2023)
- The Apache Software Foundation: PPMC member – Apache Stanbol