Natasha Noy
The topic of this article may not meet Wikipedia's notability guideline for biographies. (October 2018) |
Natasha Noy | |
---|---|
Born | Russia |
Alma mater | Northeastern University |
Scientific career | |
Fields | Semantic Web, Computer Science |
Institutions | Stanford University, Google |
Natasha Noy is a Russian-born American Computer Scientist who works at Google Research in Mountain View, CA. She is best known for her work with the Protégé ontology editor and the Prompt alignment tool, for which she and co-author Mark Musen won the classic paper award from AAAI in 2018. Noy served as president of the Semantic Web Sciences Association from 2012-2017[1], and her Ontology 101 Tutorial is one of the most cited and downloaded documents in the semantic web.
Background and Education
Noy received a PhD from Northeastern University in 1997. Her thesis focused on knowledge-rich documents, in particular information retrieval for scientific articles[2]. The hypothesis of this work was that embedding formally represented knowledge in texts would make it easier to retrieve, a theme that repeats throughout her career.
Stanford Years
Noy moved from Northeastern to Stanford University, to work with Mark Musen on the Protege project as a post-doc, and later as a research scientist. It was here she did her seminal work on Prompt published in 2002, an environment for automatic ontology alignment [3][4]. This work was awarded the AAAI classic paper award in 2018 for identifying the specifics of the problem and outlining an innovative solution.
By far her most widely distributed work, however, was the Ontology 101 tutorial [5], which Noy developed as part of the education program for Protege customers. The tutorial became a standard introductory document for the semantic web and ontologies. It has been cited nearly 6000 times as of 2018, and downloaded often.
Google Research
Noy moved to Google research in April, 2014. In 2018, she released the Google Dataset Search engine[6], so that scientists, data journalists, or anyone else can find the data required for their work and their stories, or simply to satisfy their intellectual curiosity.[7]
References
- ^ http://swsa.semanticweb.org/content/members Current and past SWSA board
- ^ https://pdfs.semanticscholar.org/975b/1cf82c575f2c60560edb8a7eb1cd9c099d17.pdf Thesis PDF
- ^ https://aaai.org/Papers/AAAI/2000/AAAI00-069.pdf Prompt Paper
- ^ http://videolectures.net/rease_noy_oma/ Video Lecture on Prompt
- ^ https://protege.stanford.edu/publications/ontology_development/ontology101.pdf Ontology 101 Tutorial
- ^ https://toolbox.google.com/datasetsearch Google Dataset Search
- ^ https://www.blog.google/products/search/making-it-easier-discover-datasets/ Google research blog post