Abstract
HERITALISE mission is to research and develop advanced digitisation techniques
and solutions for documenting and representing diverse Cultural Heritage
assets, giving a full comprehension of the diverse Cultural Heritage features, visible and non-visible. In addition, AI-powered tools including Machine Learning
(ML) will be developed for improved and optimised data post-processing and
integration based on standard and expanded methodologies. All this will be connected through a knowledge graph environment that allows the individual aspects known about the CH object to be related and retrievable. As with Wikipedia, by following links it will be possible to learn more about a particular object, what research has been done, and what results have been derived from it. HERITALISE will provide the upcoming European Collaborative Cloud for Cultural
Heritage with an interoperable web-based Ecosystem, advanced input data from
improved digitalisation methodologies and preservation supporting tools, which
will be achieved by meeting the projects general objectives.
and solutions for documenting and representing diverse Cultural Heritage
assets, giving a full comprehension of the diverse Cultural Heritage features, visible and non-visible. In addition, AI-powered tools including Machine Learning
(ML) will be developed for improved and optimised data post-processing and
integration based on standard and expanded methodologies. All this will be connected through a knowledge graph environment that allows the individual aspects known about the CH object to be related and retrievable. As with Wikipedia, by following links it will be possible to learn more about a particular object, what research has been done, and what results have been derived from it. HERITALISE will provide the upcoming European Collaborative Cloud for Cultural
Heritage with an interoperable web-based Ecosystem, advanced input data from
improved digitalisation methodologies and preservation supporting tools, which
will be achieved by meeting the projects general objectives.
Original language | English |
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Title of host publication | Proceedings of EuroMed 2024 |
Place of Publication | Cham |
Publisher | Springer |
Publication status | Accepted/In press - 30 Sept 2024 |
Event | 10th International Euro-Mediterranean Conference (EuroMed 2024) - Limassol, Cyprus Duration: 2 Dec 2024 → 4 Dec 2024 Conference number: 10 https://euromed2024.eu/ |
Publication series
Name | Lecture notes in computer science |
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Publisher | Springer |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 10th International Euro-Mediterranean Conference (EuroMed 2024) |
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Abbreviated title | EuroMed 2024 |
Country/Territory | Cyprus |
City | Limassol |
Period | 2/12/24 → 4/12/24 |
Internet address |
Keywords
- Heritage
- Digitisation
- HHBIM
- Memory twin
- Virtual museums
- ECCCH