# Igor Tatarinov

> Ph.D. University of Washington 2004

**Wikidata**: [Q102298570](https://www.wikidata.org/wiki/Q102298570)  
**Source**: https://4ort.xyz/entity/igor-tatarinov

## Summary
Igor Tatarinov is a computer scientist who earned his Ph.D. from the University of Washington in 2004. His doctoral research focused on semantic data sharing and peer data management systems under the supervision of Alon Halevy.

## Biography
- Born: [date and place not available]
- Nationality: [not specified in source material]
- Education: Ph.D. in Computer Science, University of Washington (2004)
- Known for: Research on semantic data sharing and peer data management systems
- Employer(s): [not specified in source material]
- Field(s): Computer Science

## Contributions
Igor Tatarinov's primary contribution to computer science is his doctoral dissertation titled "Semantic Data Sharing with a Peer Data Management System," completed at the University of Washington in 2004. This work falls within the broader field of data management and semantic web technologies. His research explored methods for enabling data sharing across heterogeneous systems through semantic approaches, which is a critical challenge in distributed computing environments. The peer data management system approach he studied represents an important architectural paradigm for handling data integration without requiring centralized control.

## FAQs
### Q: When did Igor Tatarinov complete his Ph.D.?
A: Igor Tatarinov completed his Ph.D. at the University of Washington in 2004.

### Q: What was Igor Tatarinov's dissertation about?
A: His doctoral thesis was titled "Semantic Data Sharing with a Peer Data Management System," focusing on data integration and sharing methodologies.

### Q: Who was Igor Tatarinov's doctoral advisor?
A: His doctoral advisor was Alon Y. Halevy, an Israeli-American computer scientist known for his work in data management.

## Why They Matter
Igor Tatarinov's work on semantic data sharing contributes to the fundamental challenge of data integration in distributed systems. His research on peer data management systems addresses the growing need for organizations to share data across heterogeneous platforms without relying on centralized architectures. This work is particularly relevant as businesses and institutions increasingly need to integrate data from multiple sources while maintaining semantic consistency. His contributions help advance the field of data management, which underpins modern data-driven applications and services.

## Notable For
- Completing Ph.D. in Computer Science at University of Washington in 2004
- Doctoral research on "Semantic Data Sharing with a Peer Data Management System"
- Working under the supervision of renowned computer scientist Alon Y. Halevy
- Contributing to the field of semantic data integration and peer-to-peer data management

## Body
### Academic Background
Igor Tatarinov pursued his doctoral studies at the University of Washington, one of the leading institutions for computer science research in the United States. He completed his Ph.D. in 2004, demonstrating expertise in the specialized area of data management systems.

### Research Focus
Tatarinov's research centered on semantic data sharing, a critical area within database systems and the semantic web. His work on peer data management systems explored decentralized approaches to data integration, where multiple autonomous systems can share data without requiring a centralized mediator. This approach has significant implications for enterprise data integration, scientific data sharing, and web-scale data management.

### Doctoral Supervision
Under the guidance of Alon Y. Halevy, a prominent figure in database research, Tatarinov's work contributed to the broader research agenda of the University of Washington's database group. Halevy's expertise in data integration, web data management, and artificial intelligence provided a strong foundation for Tatarinov's research on semantic data sharing methodologies.

## References

1. Mathematics Genealogy Project
2. WorldCat