# Nicholas Kushmerick

> Ph.D. University of Washington 1997

**Wikidata**: [Q102251078](https://www.wikidata.org/wiki/Q102251078)  
**Source**: https://4ort.xyz/entity/nicholas-kushmerick

## Summary
Nicholas Kushmerick is a computer scientist known for his research in information extraction, particularly through the development of Wrapper Induction. He earned his Ph.D. in computer science from the University of Washington in 1997 under the supervision of Daniel S. Weld. His work laid foundational methods for automated data extraction from web pages.

## Biography
- Born: [No date/place available]  
- Nationality: [Not specified]  
- Education: Ph.D. in computer science, University of Washington (1997)  
- Known for: Developing Wrapper Induction for information extraction  
- Employer(s): [Not specified]  
- Field(s): Computer science, information extraction  

## Contributions  
Nicholas Kushmerick’s primary contribution is his 1997 doctoral thesis, *Wrapper Induction for Information Extraction*, which introduced a machine learning-based approach to automatically extract structured data from unstructured web pages. This method, known as Wrapper Induction, addressed the challenge of efficiently gathering data from websites by generating "wrappers" (programs that extract specific data patterns) with minimal manual effort. His work influenced early web data mining techniques and supported applications like price comparison tools and content aggregators. Kushmerick also supervised doctoral students, including Rinat Khoussainov, contributing to academic mentorship in the field. While specific industry applications or patents are not detailed in the source material, his research remains a reference in data extraction literature.

## FAQs  
### Q: What is Nicholas Kushmerick best known for?  
A: He is best known for developing Wrapper Induction, a method for automated information extraction from web pages, detailed in his 1997 Ph.D. thesis.  

### Q: Who supervised Nicholas Kushmerick’s doctoral work?  
A: His doctoral advisor was Daniel S. Weld, a prominent American computer scientist.  

### Q: What is the significance of Kushmerick’s thesis?  
A: The thesis introduced a foundational technique for extracting structured data from websites, contributing to advancements in web scraping and data mining.  

## Why They Matter  
Nicholas Kushmerick’s work on Wrapper Induction simplified the process of extracting usable data from the web, a critical challenge in the late 1990s as online content grew rapidly. By reducing manual effort in wrapper creation, his research supported the development of tools for e-commerce, research, and business intelligence. While later advances in AI and natural language processing have expanded data extraction capabilities, Kushmerick’s method remains a milestone in the evolution of web data processing. His academic mentorship, including supervising doctoral students, further solidified his impact on the field.

## Notable For  
- Author of the seminal thesis *Wrapper Induction for Information Extraction* (1997).  
- Doctoral advisor to Rinat Khoussainov.  
- Recipient of a Ph.D. in computer science from the University of Washington.  
- Listed in the Mathematics Genealogy Project (ID: 71865).  

## Body  
### Education  
Kushmerick earned his Ph.D. in computer science from the University of Washington in 1997. His dissertation, *Wrapper Induction for Information Extraction*, was supervised by Daniel S. Weld.  

### Research Focus  
His work focused on information extraction, specifically addressing how to programmatically identify and compile data from semi-structured web documents. Wrapper Induction, his key innovation, enabled systems to learn extraction patterns from examples rather than relying on hand-coded rules.  

### Academic Legacy  
Kushmerick contributed to the academic community through mentorship, notably advising doctoral student Rinat Khoussainov. His research is cataloged in the Mathematics Genealogy Project (ID: 71865) and aligns with the University of Washington’s focus in computer science.  

### Technical Impact  
While the source material does not specify industry roles or commercialized products, his thesis laid conceptual groundwork for later web scraping tools and data aggregation systems. The method’s emphasis on automation aligned with broader efforts to manage the growing scale of online data in the late 1990s.

## References

1. Mathematics Genealogy Project
2. WorldCat