# Timo Homburg

> Researcher in Geospatial Semantics at Mainz University of Applied Sciences interested in standardization, semantic web technologies. Part of the OGC GeoSPARQL working group

**Wikidata**: [Q67624599](https://www.wikidata.org/wiki/Q67624599)  
**Source**: https://4ort.xyz/entity/timo-homburg

## Summary
Timo Homburg is a German researcher in geospatial semantics and semantic web technologies, currently affiliated with Mainz University of Applied Sciences. He is known for his work on GeoSPARQL standardization and has received multiple best paper awards for his contributions to spatial data integration and cultural heritage applications.

## Biography
- Born: Gelnhausen, Germany
- Nationality: German
- Education: Bachelor of Science from RheinMain University of Applied Sciences (2012); Master of Science from Goethe University Frankfurt (2016); Doctor of Natural Sciences from Martin Luther University Halle-Wittenberg (2024)
- Known for: Research in geospatial semantics, linked data, and standardization of spatial data on the web
- Employer(s): Mainz University of Applied Sciences (researcher since 2015), Federal Agency for Cartography and Geodesy (since 2025)
- Field(s): Geospatial semantics, semantic web technologies, linked data, geographic information systems, computational linguistics, machine learning, digital humanities

## Contributions
Timo Homburg has made significant contributions to the field of geospatial semantics and semantic web technologies. His doctoral research focused on integrating spatial data into the semantic web, resulting in the development of GeoSPARQL+ for querying graph, raster, and vector data. He has been actively involved in the Open Geospatial Consortium's GeoSPARQL working group, contributing to the standardization of spatial query languages. Homburg has published numerous papers on topics including automatic integration of spatial data, cultural heritage applications using linked data, and photogrammetry tools for cultural heritage documentation. His work has been recognized with multiple best paper awards at international conferences including the International Semantic Web Conference (2020) and Eurographics Workshop on Graphics and Cultural Heritage (2023). He has also contributed to open-source projects and developed tools for spatial data analysis and visualization.

## FAQs
### Q: What is Timo Homburg's primary area of research?
A: Timo Homburg specializes in geospatial semantics and semantic web technologies, focusing on the integration of spatial data into the semantic web and standardization of spatial query languages.

### Q: Where does Timo Homburg currently work?
A: Timo Homburg is currently a researcher at Mainz University of Applied Sciences and has been affiliated with the Federal Agency for Cartography and Geodesy since October 2025.

### Q: What awards has Timo Homburg received for his research?
A: Timo Homburg has received multiple awards including Best Student Paper Award at the International Semantic Web Conference (2020), Best Paper Award at Eurographics Workshop on Graphics and Cultural Heritage (2023), and Best Innovation Paper Award at IEEE Cyberhumanities (2025).

## Why They Matter
Timo Homburg's work has significantly advanced the field of geospatial semantics by bridging the gap between traditional geographic information systems and semantic web technologies. His contributions to GeoSPARQL standardization have enabled more sophisticated querying and integration of spatial data across different formats and sources. Through his research on cultural heritage applications, Homburg has demonstrated practical implementations of linked data technologies in preserving and analyzing historical artifacts. His development of tools for photogrammetry and spatial data analysis has provided valuable resources for researchers in digital humanities and cultural heritage fields. By actively participating in standardization efforts through organizations like the Open Geospatial Consortium, Homburg has helped shape the future of spatial data interoperability on the web.

## Notable For
- Developing GeoSPARQL+ for integrated querying of graph, raster, and vector spatial data
- Receiving Best Paper Award at Eurographics Workshop on Graphics and Cultural Heritage (2023)
- Contributing to OGC GeoSPARQL working group for spatial data standardization
- Creating tools for cultural heritage photogrammetry and spatial data analysis
- Publishing award-winning research on automatic integration of spatial data into semantic web

## Body
### Academic Background and Education
Timo Homburg completed his Bachelor of Science at RheinMain University of Applied Sciences in 2012, graduating as valedictorian. He then pursued his Master of Science at Goethe University Frankfurt, completing it in 2016 with valedictorian honors. His doctoral studies at Martin Luther University Halle-Wittenberg culminated in a Doctor of Natural Sciences degree in 2024, with research focusing on geospatial semantics and semantic web technologies.

### Research Contributions
Homburg's research has centered on developing methods for integrating spatial data into the semantic web ecosystem. His work on GeoSPARQL+ represents a significant advancement in spatial query capabilities, allowing for unified querying across different data types. He has published extensively on topics including linked data applications in cultural heritage, machine learning for spatial data analysis, and standardization of spatial query languages.

### Standardization and Industry Impact
As a member of the Open Geospatial Consortium's GeoSPARQL working group, Homburg has contributed to the development of standards for spatial data on the web. His involvement with the World Wide Web Consortium's Spatial Data on the Web Working Group further demonstrates his commitment to advancing spatial data interoperability standards.

### Awards and Recognition
Homburg's research has been recognized with numerous awards throughout his career. He received the DARIAH-DE Digital Humanities Award in 2015 and has won multiple best paper awards at international conferences. His work on cultural heritage applications using linked data earned him recognition from the FIG (International Federation of Surveyors) as Article of the Month in October 2020.

### Professional Affiliations
Beyond his research contributions, Homburg is actively involved in various professional organizations. He is a member of the Chaos Computer Club, Research Squirrel Engineers Network, and mainzed. His participation in these communities reflects his broader engagement with technology and research beyond his specific field of expertise.

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## References

1. [Source](https://github.com/hennyu/dhd-chronicles/)
2. [Source](https://pretalx.com/fossgis2024/speaker/J9MKNX/)
3. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-9499-5840/employment/3299871)
4. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-9499-5840/employment/3299868)
5. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-9499-5840/employment/3299866)
6. [Source](https://situx.github.io/files/val_bachelor.pdf)
7. [Source](https://de.dariah.eu/dariah-dh-award-2015)
8. [Source](https://situx.github.io/files/val_master.pdf)
9. [Source](https://situx.github.io/files/certificate-BestStudentPaper.pdf)
10. [Source](https://en.wikipedia.org/?curid=50809337)
11. [Source](https://fig.net/resources/monthly_articles/2020/Thiery_etal_October_2020.asp)
12. [Source](https://situx.github.io/files/beststudentpaperiswc.pdf)
13. [Source](https://en.wikipedia.org/wiki/International_Semantic_Web_Conference)
14. [Source](https://situx.github.io/files/gch2023bestpaperaward.pdf)
15. [Source](https://situx.github.io/files/2025_IEEECH_Best_Paper_Innovation_Award.pdf)
16. [Source](https://i3mainz.hs-mainz.de/news/2024/10/28/herzlichen-gluckwunsch-zur-promotion-timo.html)
17. [Source](http://dx.doi.org/10.25673/119187)
18. [SciGraph](https://scigraph.springernature.com/person.015737705113.11)
19. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0002-9499-5840/researcher-urls/1065920)