Dr. Alessandro Adamou

Digital Humanities Scientist

Main Focus

  • 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

Research project

Linked Data Infrastructure for Cognitive Computing with Bibliotheca Hertziana Research Data

Publications (Selection)

  • (with Alessio Antonini, Mari Carmen Suárez-Figueroa, Francesca Benatti, François Vignale, Guillaume Gravier and Lucia Lupi), "Understanding the phenomenology of reading through modelling", Semantic Web 12,2 (2021), pp. 191-217 (DOI: 10.3233/SW-200396).
  • (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. 6179.
  • (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. 112119.
  • (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. 2132.
  • (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. 4346.

Curriculum Vitae

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 (20202023)
  • The Apache Software Foundation: PPMC member Apache Stanbol
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