Evaluation of ontologies
By Asunción Gómez-Pérez. International Journal of Intelligent Systems, 2001
372 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/2d67e0bc938ef724779cb0816e99f9054d12dccb
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
- Mariano Fernández-López
- Óscar Corcho
- Asunción Gómez-Pérez
- João Pavão Martins
- H. Sofia Pinto
- M. Suárez-Figueroa
- Hans-Jörg Happel
- Stefan Seedorf
In Information Systems
- Mariano Fernández-López
- Óscar Corcho
- João Pavão Martins
- H. Sofia Pinto
- Asunción Gómez-Pérez
- Aldo Gangemi
In Molecular Biology
Citations in the corpus
- Methodologies, tools and languages for building ontologies: Where is their meeting point? (2003, methodology): “However, many other methods and methodologies have been proposed for other tasks, such as ontology reengineering [29], ontology learning [2] [45], ontology evaluation [25] [27] [35] [36] [41] [42], ontology evolution [47] [48] [58] [63], ontology merging [59], etc.”
- Ontologies: How can They be Built? (2004, background): “Two important proposals for ontology evaluation are (Gómez-Pérez 2001; GómezPérez et al. 1995) and ONTOCLEAN (Guarino and Welty 2002; Welty and Guarino 2001).”
- Croissant: A Metadata Format for ML-Ready Datasets (2024, neutral): “"extract": {"fileProperty": "content"} "@id": "images/hash", 17 "@type": "cr:Field",”