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Natalya F. Noy
Researcher at Stanford University
Publications - 168
Citations - 24203
Natalya F. Noy is an academic researcher from Stanford University. The author has contributed to research in topics: Ontology (information science) & Open Biomedical Ontologies. The author has an hindex of 56, co-authored 166 publications receiving 23427 citations. Previous affiliations of Natalya F. Noy include Pennsylvania State University & Google.
Papers
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Ontology Development 101: A Guide to Creating Your First Ontology
TL;DR: An ontology defines a common vocabulary for researchers who need to share information in a domain that includes machine-interpretable definitions of basic concepts in the domain and relations among them.
Journal ArticleDOI
The evolution of Protégé: an environment for knowledge-based systems development
John H. Gennari,Mark A. Musen,Ray W. Fergerson,William Grosso,Monica Crubézy,Henrik Eriksson,Natalya F. Noy,Samson W. Tu +7 more
TL;DR: This paper follows the evolution of the Protege project through three distinct re-implementations, and describes the overall methodology, the design decisions, and the lessons learned over the duration of the project.
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Semantic integration: a survey of ontology-based approaches
TL;DR: The goal of the paper is to provide a reader who may not be very familiar with ontology research with introduction to major themes in this research and with pointers to different research projects.
Proceedings Article
Algorithm and Tool for Automated Ontology Merging and Alignment
Natalya F. Noy,Mark A. Musen +1 more
TL;DR: In this paper, a semi-automated approach to ontology merging and alignment is presented. But the approach is not suitable for the problem of ontology alignment and merging, as it requires a large and tedious portion of the sharing process.
Journal ArticleDOI
Creating Semantic Web contents with Protege-2000
Natalya F. Noy,Michael Sintek,Stefan Decker,Monica Crubézy,Raymond W. Fergerson,Mark A. Musen +5 more
TL;DR: The authors describe how Protege-2000, a tool for ontology development and knowledge acquisition, can be adapted for editing models in different Semantic Web languages.