Natasha Noy

Natasha Noy earned a bachelor's degree in applied mathematics from Moscow State University, a master's degree in computer science from Boston University and a doctorate from Northeastern University.[10] Her thesis focused on knowledge-rich documents, in particular information retrieval for scientific articles.[11]

Natasha Noy's most well-known works include "Google Dataset Search: Building a search engine for datasets in an open Web ecosystem" The article discusses Google Dataset Search, a dataset-discovery tool that allows users to search across all datasets available on the Internet.[12] "Is it better to use a dataset or not? A Verification Study of Semantic Markup for Dataset Pages" which provides information on semantic markup, such as Schema.org.[13] Scientists, governments, and organizations post datasets on the Web, according to "Google Dataset Search by the Numbers." to make datasets discoverable, Google's Dataset Search pulls information from Web sites, and this metadata has now become an useful snapshot of data on the Web.[14] "When the Web is Your Data Lake: Creating a Search Engine for Datasets on the Web" which tells about the Dataset Search, which allows users to search for and locate datasets on the web, is one of Natasha Noy's most well-known works, The goal is to make research results more reproducible, allowing scientists to build on the work of others while also giving data journalists easy access to information and its provenance.[15] "Lessons and Challenges from Industry-Scale Knowledge Graphs." this analysis explores five IT firms' knowledge graphs and explores the issues that information-driven businesses face today.[16] "Algorithm and Tool for Automated Ontology Merging and Alignment" tells the distributed nature of ontology development has led to a large number of ontologies covering overlapping domains and tells the development and implementation of PROMPT, an algorithm that provides a semi-automatic approach to ontology merging and alignment.[17] "The PROMPT suite: interactive tools for ontology merging and mapping" -Because of the dispersed nature of ontology generation, there are multiple ontologies that span overlapping regions; these ontologies must first be merged or aligned to one another before they can be used, Noy and her colleagues developed a collection of tools to assist you in managing several ontologies, this suite allows users to compare, align, and merge ontologies, as well as track versions and translate between different formalisms, two of the suite's products offer semi-automatic ontology merger: iPrompt is an interactive ontology merging tool that guides the user through the process, suggesting next actions and highlighting differences and potential problems, Using an ontology graph structure, AnchorPrompt detects connections between ideas and gives more information to iPrompt.[18] "WebProtégé: A collaborative ontology editor and knowledge acquisition tool for the Web" influences given the broad acceptance of Web 2.0 platforms and the progressive deployment of ontologies and Semantic Web technologies in the real world, we need ontology-development tools that are better suited for unique methods of interacting, generating, and consuming information. Noy wanted to make ontology construction more accessible by developing a tool that can be used from any Web browser, has robust collaboration features, and a fully flexible and pluggable user interface that can be tailored to any level of user competence, according to the paper.[19] "Anchor-PROMPT : Using Non-Local Context for Semantic Matching" because of the scattered nature of ontology creation, there are many ontologies covering overlapping topics that researchers must now combine or align. The method examines the pathways in the subgraph constrained by the anchors to see which classes appear often in comparable spots on similar paths.[20] "Simplified OWL Ontology Editing for the Web: Is WebProtégé Enough?" She and her colleagues presented the updated version of WebProtégé in this article, which was created with two key aims in mind: (1) build a tool that is simple to use while still allowing for widely used OWL constructs; (2) as part of the core tool design, facilitate collaboration and social engagement around remote ontology editing.[21]

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 that she completed her important work on Prompt, an environment for automated ontology alignment, which was published in 2002.[22][23] For recognizing the specifics of the problem and providing an inventive solution, this study received the AAAI classic paper award in 2018. By far her most widely distributed work,[24] however, was the Ontology 101 tutorial,[25] 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 6800 times as of 2018, and downloaded often.[26]

In April of 2014, Noy went to Google Research; Google has released a search engine to help researchers find publicly available online data. On September 5th, the program was launched, and it is aimed towards "scientists, data journalists, data geeks, or anybody else."[27] Dataset Search, which is now following Google's other specialized search engines including news and picture search, as well as Google Scholar and Google Books, locates files and databases based on how their owners have categorised them. It does not read the content of the files in the same manner that search engines read web pages.[28] Researchers who want to know what kinds of data are accessible or who want to find data that they already know exists, according to Natasha Noy, must often rely on word of mouth, this problem is particularly acute, according to Noy, for early-career academics who have yet to "connect" into a network of professional ties, I t's also a disadvantage for cross-disciplinary researchers, such as epidemiologists who need access to climatic data that might be crucial to viral transmission, Noy and her Google colleague Dan Brickley wrote a blog post in January 2017 proposing a solution to the problem, Typical search engines operate in two stages: The first stage is to search the Internet for sites to index on a regular basis, the second stage is to rank those indexed sites so that the engine can return relevant results in order when a user puts in a search word, Owners of datasets should 'tag' them using a standardized vocabulary called Schema.org, which Brickley controls, according to Noy and Brickley, Google and three other search engine behemoths (Microsoft, Yahoo, and Yandex) created Schema.org to help search engines in scanning existing data sets.[29]

She is best known for her work on the Protégé ontology editor and the Prompt alignment tool, for which she and co-author Mark Musen received the AAAI Classic Paper award in 2018, the AAAI Classic Paper award honors the author(s) of the most influential paper(s) from a specific conference year, with the time period examined advancing by one year per year.[30]