Jennifer Vendetti
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Jennifer Vendetti has a total of 23 co-authors. Here are the top co-authors by number of shared publications:
- Mark A. Musen
Stanford University, USA
3 shared publications - John Graybeal
Stanford Center for Biomedical Informatics Research Stanford University School of Medicine 1265 Welch Road 94305-5479 Stanford CA USA
2 shared publications - Alex Skrenchuk
School of Medicine BMIR Stanford University Stanford USA
1 shared publication - Christian Kindermann
Center for Biomedical Informatics Research, Stanford University , 3180 Porter Dr., Palo Alto, CA 94304
1 shared publication - Christopher John Mungall
Lawrence Berkeley National Laboratory, Berkeley, USA
1 shared publication - Clement Jonquet
LIRMM University of Montpellier CNRS France
1 shared publication
Latest Publications
- Open Access
- 22 January 2025
- Published by Oxford University Press (OUP) in Database: The Journal of Biological Databases and Curation
- Vol. 2025
A change language for ontologies and knowledge graphs
Ontologies and knowledge graphs (KGs) are general-purpose computable representations of some domain, such as human anatomy, and are frequently a crucial part of modern information systems. Most of these structures change over time, incorporating new knowledge or information that was previously missing. Managing these changes is a challenge, both in terms of communicating changes to users and providing mechanisms to make it easier for multiple stakeholders to contribute. To fill that need, we have created KGCL, the Knowledge Graph Change Language (https://github.com/INCATools/kgcl), a standard data model for describing changes to KGs and ontologies at a high level, and an accompanying human-readable Controlled Natural Language (CNL). This language serves two purposes: a curator can use it to request desired changes, and it can also be used to describe changes that have already happened, corresponding to the concepts of “apply patch” and “diff” commonly used for managing changes in text documents and computer programs. Another key feature of KGCL is that descriptions are at a high enough level to be useful and understood by a variety of stakeholders—e.g. ontology edits can be specified by commands like “add synonym ‘arm’ to ‘forelimb’” or “move ‘Parkinson disease’ under ‘neurodegenerative disease’.” We have also built a suite of tools for managing ontology changes. These include an automated agent that integrates with and monitors GitHub ontology repositories and applies any requested changes and a new component in the BioPortal ontology resource that allows users to make change requests directly from within the BioPortal user interface. Overall, the KGCL data model, its CNL, and associated tooling allow for easier management and processing of changes associated with the development of ontologies and KGs. Database URL: https://github.com/INCATools/kgcl
- 22 January 2025
- Published by Oxford University Press (OUP) in Database: The Journal of Biological Databases and Curation
- Vol. 2025
Open AccessA change language for ontologies and knowledge graphs
Ontologies and knowledge graphs (KGs) are general-purpose computable representations of some domain, such as human anatomy, and are frequently a crucial part of modern information systems. Most of these structures change over time, incorporating new knowledge or information that was previously missing. Managing these changes is a challenge, both in terms of communicating changes to users and providing mechanisms to make it easier for multiple stakeholders to contribute. To fill that need, we have created KGCL, the Knowledge Graph Change Language (https://github.com/INCATools/kgcl), a standard data model for describing changes to KGs and ontologies at a high level, and an accompanying human-readable Controlled Natural Language (CNL). This language serves two purposes: a curator can use it to request desired changes, and it can also be used to describe changes that have already happened, corresponding to the concepts of “apply patch” and “diff” commonly used for managing changes in text documents and computer programs. Another key feature of KGCL is that descriptions are at a high enough level to be useful and understood by a variety of stakeholders—e.g. ontology edits can be specified by commands like “add synonym ‘arm’ to ‘forelimb’” or “move ‘Parkinson disease’ under ‘neurodegenerative disease’.” We have also built a suite of tools for managing ontology changes. These include an automated agent that integrates with and monitors GitHub ontology repositories and applies any requested changes and a new component in the BioPortal ontology resource that allows users to make change requests directly from within the BioPortal user interface. Overall, the KGCL data model, its CNL, and associated tooling allow for easier management and processing of changes associated with the development of ontologies and KGs. Database URL: https://github.com/INCATools/kgcl
- Open Access
- 27 October 2023
- Published by Springer Nature
- p. 38-58
Ontology Repositories and Semantic Artefact Catalogues with the OntoPortal Technology
There is an explosion in the number of ontologies and semantic artefacts being produced in science. This paper discusses the need for common platforms to receive, host, serve, align, and enable their reuse. Ontology repositories and semantic artefact catalogues are necessary to address this need and to make ontologies FAIR (Findable, Accessible, Interoperable, and Reusable). The OntoPortal Alliance (https://ontoportal.org) is a consortium of research and infrastructure teams dedicated to promoting the development of such repositories based on the open, collaboratively developed OntoPortal software. We present the OntoPortal technology as a generic resource to build ontology repositories and semantic artefact catalogues that can support resources ranging from SKOS thesauri to OBO, RDF-S, and OWL ontologies. The paper reviews the features of OntoPortal and presents the current and forthcoming public and open repositories built with the technology maintained by the Alliance.
- 27 October 2023
- Published by Springer Nature
- p. 38-58
Open AccessOntology Repositories and Semantic Artefact Catalogues with the OntoPortal Technology
There is an explosion in the number of ontologies and semantic artefacts being produced in science. This paper discusses the need for common platforms to receive, host, serve, align, and enable their reuse. Ontology repositories and semantic artefact catalogues are necessary to address this need and to make ontologies FAIR (Findable, Accessible, Interoperable, and Reusable). The OntoPortal Alliance (https://ontoportal.org) is a consortium of research and infrastructure teams dedicated to promoting the development of such repositories based on the open, collaboratively developed OntoPortal software. We present the OntoPortal technology as a generic resource to build ontology repositories and semantic artefact catalogues that can support resources ranging from SKOS thesauri to OBO, RDF-S, and OWL ontologies. The paper reviews the features of OntoPortal and presents the current and forthcoming public and open repositories built with the technology maintained by the Alliance.
- 1 January 2013
- Published by Springer Nature
- p. 200-215
Simplified OWL Ontology Editing for the Web: Is WebProtégé Enough?
- 1 January 2013
- Published by Springer Nature
- p. 200-215
Simplified OWL Ontology Editing for the Web: Is WebProtégé Enough?