Sander Münster
Biographic Data
| ID | 6890243 |
|---|---|
| NAME | Sander Münster |
| GIVEN NAMES | Sander |
| FAMILY NAME | Münster |
| SIGNATURE | MÜNSTER S |
| AFFILIATIONS | Friedrich Schiller University Jena |
| ORCID | 0000-0001-9344-912X |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 4 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Digital Visualization Infrastructures of 3D Models in a Scientific Contest
Over recent decades, various projects—especially at the European level—have developed platforms for storing 2D and 3D digital models of cultural heritage. These platforms aim to preserve, organise, and make heritage data accessible for research, education, and public engagement. However, they face challenges due to diverse data formats, increasing user demands, and a lack of standardisation and metadata consistency. Advancements in digital techno…
Artificial Intelligence for Digital Heritage Innovation
Artificial intelligence (AI) is a game changer in many fields, including cultural heritage. It supports the planning and preservation of heritage sites and cities, enables the creation of virtual experiences to enrich cultural tourism and engagement, supports research, and increases access and understanding of heritage objects. Despite some impressive examples, the full potential of AI for economic, social, and cultural change is not yet fully vi…
Digital topics on cultural heritage investigated
In research and policies, the identification of trends as well as emerging topics and topics in decline is an important source of information for both academic and innovation management. Since at present policy analysis mostly employs qualitative research methods, the following article presents and assesses different approaches - trend analysis based on questionnaires, quantitative bibliometric surveys, the use of computer-linguistic approaches a…
Browsing and Experiencing Repositories of Spatially Oriented Historic Photographic Images
Many institutions archive historical images of architecture in urban areas and make them available to scholars and the general public through online platforms. Users can explore these often huge repositories by faceted browsing or keyword-based searching. Metadata that enable these kinds of investigations, however, are often incomplete, imprecise, or even wrong. Thus, retrieving images of interest can be a cumbersome task for users such as art an…
Interdisziplinäre Kooperation bei der Erstellung geschichtswissenschaftlicher 3D-Modelle
Interdisziplinäre Kooperation bei der Erstellung geschichtswissenschaftlicher 3D-Modelle
Artificial Intelligence for Digital Heritage Innovation
Artificial intelligence (AI) is a game changer in many fields, including cultural heritage. It supports the planning and preservation of heritage sites and cities, enables the creation of virtual experiences to enrich cultural tourism and engagement, supports research, and increases access and understanding of heritage objects. Despite some impressive examples, the full potential of AI for economic, social, and cultural change is not yet fully vi…
Digital topics on cultural heritage investigated
In research and policies, the identification of trends as well as emerging topics and topics in decline is an important source of information for both academic and innovation management. Since at present policy analysis mostly employs qualitative research methods, the following article presents and assesses different approaches - trend analysis based on questionnaires, quantitative bibliometric surveys, the use of computer-linguistic approaches a…
Interdisziplinäre Kooperation bei der Erstellung geschichtswissenschaftlicher 3D-Modelle
Interdisziplinäre Kooperation bei der Erstellung geschichtswissenschaftlicher 3D-Modelle
Browsing and Experiencing Repositories of Spatially Oriented Historic Photographic Images
Many institutions archive historical images of architecture in urban areas and make them available to scholars and the general public through online platforms. Users can explore these often huge repositories by faceted browsing or keyword-based searching. Metadata that enable these kinds of investigations, however, are often incomplete, imprecise, or even wrong. Thus, retrieving images of interest can be a cumbersome task for users such as art an…
Digital topics on cultural heritage investigated
In research and policies, the identification of trends as well as emerging topics and topics in decline is an important source of information for both academic and innovation management. Since at present policy analysis mostly employs qualitative research methods, the following article presents and assesses different approaches - trend analysis based on questionnaires, quantitative bibliometric surveys, the use of computer-linguistic approaches a…
Artificial Intelligence for Digital Heritage Innovation
Artificial intelligence (AI) is a game changer in many fields, including cultural heritage. It supports the planning and preservation of heritage sites and cities, enables the creation of virtual experiences to enrich cultural tourism and engagement, supports research, and increases access and understanding of heritage objects. Despite some impressive examples, the full potential of AI for economic, social, and cultural change is not yet fully vi…
Digital Visualization Infrastructures of 3D Models in a Scientific Contest
Over recent decades, various projects—especially at the European level—have developed platforms for storing 2D and 3D digital models of cultural heritage. These platforms aim to preserve, organise, and make heritage data accessible for research, education, and public engagement. However, they face challenges due to diverse data formats, increasing user demands, and a lack of standardisation and metadata consistency. Advancements in digital techno…
3D Surveying and Cultural Heritage (3 works) · Computer Science (3 works) · Archaeology (2 works) · Art (2 works) · Conservation Techniques and Studies (2 works) · Cultural heritage (2 works) · Data science (2 works) · Digital Humanities and Scholarship (2 works) · Engineering (2 works) · Image Processing and 3D Reconstruction (2 works)