The Knowledge Model of Protégé-2000: Combining Interoperability and Flexibility
By Natasha Noy, Ray W. Fergerson, Mark A. Musen. International Conference Knowledge Engineering and Knowledge Management, 2000
845 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/fb7e404b8af7531e173dd7409b4a3981451a3765
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Ljiljana Stojanović
- Mark A. Musen
- Asunción Gómez-Pérez
- Natasha Noy
- Mariano Fernández-López
- Steffen Staab
- Óscar Corcho
- José Leonardo Villaraza Mejino Jr.
In Computer Networks and Communications
- Ljiljana Stojanović
- Natasha Noy
- Mark A. Musen
- José Leonardo Villaraza Mejino Jr.
- Cornelius Rosse
- Asunción Gómez-Pérez
- Mariano Fernández-López
- Óscar Corcho
In Information Systems
- Ljiljana Stojanović
- Mark A. Musen
- Natasha Noy
- Mariano Fernández-López
- Óscar Corcho
- Grigoris Antoniou
- Haridimos Kondylakis
- Giorgos Flouris
Citations in the corpus
- A reference ontology for biomedical informatics: the Foundational Model of Anatomy (2003, methodology): “We selected the Prot eg e-2000 ontology editing and knowledge acquisition environment [18] for encoding the FMA, because its frame-based architecture, which is compatible with the Open Knowledge Base Connectivity (OKBC) protocol [19], provides for an expressive, scalable and tractable representation”
- Methods and tools for ontology evolution (2004, methodology): “Protege-2000 [96] – a widely used tool for ontology editing developed at Stanford – provides the best support for ontology inclusion so far.”
- Ontology Evolution: Not the Same as Schema Evolution (2004, neutral): “, Protégé2000 (Noy et al. 2000), Ontolingua, RDFS (Brickley and Guha 1999)) blurs or erases completely the distinction between classes and instances.”
- Methodologies, tools and languages for building ontologies: Where is their meeting point? (2003, methodology): “Prot eg e 2000 [60] has been developed by the Stanford Medical Informatics (SMI) at Stanford University, and is the latest version of the Prot eg e line of tools.”
- OntoEdit: Collaborative Ontology Development for the Semantic Web (2002, background): “Protégé also has a modular plug-in design rational like OntoEdit, but lacks of sophisticated support for collaborative engineering.”
- The evolution of Protégé: an environment for knowledge-based systems development (2003, result): “(For a detailed description of the Protege-2000 knowledge model and its relationship to OKBC, see Noy, Fergerson, & Musen, 2000 .) In comparison to the knowledge models used by earlier versions of Protege, the OKBC model is significantly more flexible.”
- PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment (2000, methodology): “We implemented the algorithm in an interactive tool based on the Protégé-2000 knowledge-modeling environment (Fridman Noy et al. 2000).”
- Ontology change: classification and survey (2008, methodology): “In (Noy & Musen 2000), the same two tools are compared with the generic Prot´eg´e (Noy et al. 2000), whereas (McGuiness et al. 2000) compares, in the context of merging, the efficiency of a simple plain-text editor, the Ontolingua editor and the specialized tool Chimaera (described in the same paper)”
- The Protégé OWL Plugin: An Open Development Environment for Semantic Web Applications (2004, methodology): “Protégé’s model is based on a simple yet flexible metamodel [11], which is comparable to object-oriented and frame-based systems.”
- Web ontology segmentation: analysis, classification and use (2006, background): “Noy and Musen present an extension to the PROMPT suite [20] of ontology maintenance tools, which are themselves plug-ins to the Protégé ontology editor [22].”