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
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.
Memberships
- National University of Ireland, Galway: Adjunct Lecturer (2020–2023)
- The Apache Software Foundation: PPMC member – Apache Stanbol