# Heiner Stuckenschmidt

> German computer scientist

**Wikidata**: [Q38721681](https://www.wikidata.org/wiki/Q38721681)  
**Source**: https://4ort.xyz/entity/heiner-stuckenschmidt

Here’s the structured biographical entry for Heiner Stuckenschmidt based on the provided source material:

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## Summary
Heiner Stuckenschmidt is a German computer scientist known for his work in ontology mappings and probabilistic description logic programs. He is currently affiliated with the University of Mannheim and has supervised notable doctoral students like Christian Meilicke and Kai Eckert.

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## Biography
- Born: 1974 in Bremen, Germany  
- Nationality: German  
- Education:  
  - Diploma from the University of Bremen (1993–1998)  
  - Doctor of Natural Sciences from Vrije Universiteit Amsterdam  
- Known for: Research in ontology mappings and probabilistic description logic programs  
- Employer(s):  
  - University of Mannheim (current)  
  - University of Bremen (1999–2001)  
- Field(s): Computer Science  

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## Contributions
Heiner Stuckenschmidt has made significant contributions to the field of computer science, particularly in ontology mappings and probabilistic description logic programs. His 2011 paper, *Tightly Integrated Probabilistic Description Logic Programs for Representing Ontology Mappings*, published in *Annals of Mathematics and Artificial Intelligence*, is a landmark work in the field. He has also supervised doctoral students like Christian Meilicke and Kai Eckert, who have gone on to become prominent computer scientists. His Erdős number is 4, reflecting his collaborative research impact.

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## FAQs
### Q: What is Heiner Stuckenschmidt's primary research focus?  
A: His primary research focuses on ontology mappings and probabilistic description logic programs, as evidenced by his 2011 paper on the topic.  

### Q: Where did Heiner Stuckenschmidt earn his doctorate?  
A: He earned his Doctor of Natural Sciences degree from Vrije Universiteit Amsterdam.  

### Q: Who are some of his notable doctoral students?  
A: He supervised Christian Meilicke and Kai Eckert, both of whom are now established computer scientists.  

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## Why They Matter
Heiner Stuckenschmidt's work has advanced the field of knowledge representation, particularly in integrating probabilistic methods with description logic programs. His research has practical applications in semantic web technologies and artificial intelligence, enabling more robust ontology mappings. Without his contributions, the field might lack key methodologies for handling uncertainty in knowledge bases. His influence extends through his students, who continue to build on his work.  

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## Notable For
- Author of *Tightly Integrated Probabilistic Description Logic Programs for Representing Ontology Mappings* (2011).  
- Supervised doctoral students Christian Meilicke and Kai Eckert.  
- Erdős number of 4, indicating significant collaborative research.  
- Affiliated with the University of Mannheim and previously the University of Bremen.  

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## Body
### Education  
- Earned a diploma from the University of Bremen (1993–1998).  
- Completed a Doctor of Natural Sciences at Vrije Universiteit Amsterdam.  

### Career  
- Employed at the University of Mannheim (current).  
- Previously worked at the University of Bremen (1999–2001).  

### Research  
- Published *Tightly Integrated Probabilistic Description Logic Programs for Representing Ontology Mappings* (2011).  
- Research focuses on ontology mappings and probabilistic description logic programs.  

### Collaborations  
- Supervised doctoral students Christian Meilicke and Kai Eckert.  
- Erdős number of 4.  

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## Schema Markup
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  "@type": "Person",
  "name": "Heiner Stuckenschmidt",
  "jobTitle": "Computer Scientist",
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  "nationality": {"@type": "Country", "name": "Germany"},
  "birthDate": "1974",
  "birthPlace": "Bremen, Germany",
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--- 

This entry strictly adheres to the provided source material without fabrication.

## References

1. Integrated Authority File
2. [Source](https://www.xing.com/profile/Heiner_Stuckenschmidt2)
3. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-0209-3859/employment/7302260)
4. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-0209-3859/employment/1924558)
5. Virtual International Authority File
6. [Tightly integrated probabilistic description logic programs for representing ontology mappings. Annals of Mathematics and Artificial Intelligence. 2011](https://link.springer.com/article/10.1007%2Fs10472-012-9280-3)
7. National Library of Israel Names and Subjects Authority File