Natasha Noy
I am a research scientist at Google Research where I work on making structured data on the Web, in all its different forms, more accessible and useful. Our team has developed Google Dataset Search, which enables users to find datasets stored across the Web.
Prior to joining Google, I worked in the Protege group at Stanford Center for Biomedical Informatics Research. Our team developed an ontology-editing and management platform that is used by hundreds of thousands of users. While at Stanford, I worked in areas of semantic web, ontology development and alignment, and collaborative ontology engineering.
I studied Applied Math in Moscow State University, received my MS in Computer Science from Boston University, and PhD from Northeastern University. For a list of my pre-Google publications, please see my profile on Google Scholar.
Authored Publications
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Google
Discovering Datasets on the Web Scale: Challenges and Recommendations for Google Dataset Search
Daniel Russell
Stella Dugall
Harvard Data Science Review (2024)
Dataset or Not? A study on the veracity of semantic markup for dataset pages
Tarfah Alrashed
Omar Benjelloun
20th International Semantic Web Conference (ISWC 2021) (to appear)
Google Dataset Search by the Numbers
Omar Benjelloun
Shiyu Chen
International Semantic Web Conference (ISWC-2020), In-Use Track (to appear)
Industry-scale Knowledge Graphs: Lessons and Challenges
Yuqing Gao
Anshu Jain
Anant Narayanan
Alan Patterson
Jamie Taylor
Communications of the ACM, 62 (8) (2019), pp. 36-43
Goods: Organizing Google's Datasets
Alon Halevy
Christopher Olston
Neoklis Polyzotis
Sudip Roy
Steven Euijong Whang
SIGMOD (2016)
Discovering Structure in the Universe of Attribute Names
Alon Halevy
Sunita Sarawagi
Steven Euijong Whang
Xiao Yu
Proc. 25th International World Wide Web Conference (2016)
