Natasha Noy

Natalya Fridman Noy is a Russian-born American computer scientist who works at Google Research in Mountain View, CA.[2][1][3] 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 the Association for the Advancement of Artificial Intelligence (AAAI) in 2018.[4] Noy served as president of the Semantic Web Sciences Association in 2012–2017,[5] and her Ontology 101 Tutorial is one of the most cited and downloaded documents on the semantic web.

Natasha Noy
Born
Natalya Fridman Noy

Russia
Alma materNortheastern University
Known forProtégé ontology editor
Google Dataset Search
AwardsAAAI Fellow (2020)
Scientific career
FieldsSemantic Web
Ontologies
Structured data
Data integration[1]
InstitutionsGoogle
Stanford University
ThesisKnowledge representation for intelligent information retrieval in experimental sciences (1997)
Websiteresearch.google.com/pubs/NatalyaNoy.html

Education

Noy received a PhD from Northeastern University in 1997. Her thesis focused on knowledge-rich documents, in particular information retrieval for scientific articles.[6] 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.

Career and research

Noy moved from Northeastern to Stanford University, to work with Mark Musen on the Protégé ontology editor as a postdoctoral researcher, 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.[7][8] 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,[9] which Noy developed as part of the education program for Protégé 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,[10] "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."[11] The service received widespread coverage in the technology and science press[12][13][14][15][16]

Awards and honors

Noy was elected an AAAI Fellow in 2020. In 2018, she was listed among the top women semantic web researchers without a Wikipedia page, and was nominated to have this page authored during the Ada Lovelace women in computing hackathon,[17] as a way to combat gender bias on Wikipedia.

References
  1. Natasha Noy publications indexed by Google Scholar
  2. Natasha Noy publications from Europe PubMed Central
  3. "Google launches search engine for open datasets - The Tartan". Thetartan.org. Retrieved 13 October 2018.
  4. "AAAI Classic Paper Award". aaai.org. Retrieved 13 October 2018.
  5. "Members - swsa". swsa.semanticweb.org. Retrieved 13 October 2018.
  6. Natalya Fridman Noy (December 1997). Knowledge Representation for Intelligent Information Retrieval in Experimental Sciences (PDF) (Thesis). College of Computer Science at Northeastern University. S2CID 23795878. Retrieved 13 October 2018.
  7. Natalya Fridman Noy; Mark A. Musen. "Algorithm and Tool for Automated Ontology Merging and Alignment" (PDF). Aaai.org. Retrieved 13 October 2018.
  8. "Ontology Mapping and Alignment". videolectures.net. Retrieved 13 October 2018.
  9. Natalya F. Noy; Deborah L. McGuinness. "Ontology Development 101: A Guide to Creating Your First Ontology" (PDF). Protege.stanford.edu. Retrieved 13 October 2018.
  10. "Dataset Search". Toolbox.google.com. Retrieved 13 October 2018.
  11. "Making it easier to discover datasets". Blog.google. 5 September 2018. Retrieved 13 October 2018.
  12. "Google launches new search engine to help scientists find the datasets they need". theverge.com. 2018-09-05. Retrieved 13 October 2018.
  13. Castelvecchi, Davide (2018). "Google unveils search engine for open data". Nature. 561 (7722): 161–162. Bibcode:2018Natur.561..161C. doi:10.1038/d41586-018-06201-x. PMID 30206390. S2CID 52190512.
  14. "Google Unveils Dataset Search for Scientists and Other Data Junkies". top500.org. Retrieved 13 October 2018.
  15. "Google Datasets : Google veut jouer sur le terrain des données". zdnet.fr. Retrieved 13 October 2018.
  16. "Google launches new search engine to help scientists find the datasets they need". theverge.com. 5 September 2018. Retrieved 28 January 2018.
  17. "Ada Lovelace Day Celebration « ISWC 2018". iswc2018.semanticweb.org. Retrieved 13 October 2018.
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