Ontology Evaluation

By Asunción Gómez-Pérez. Handbook on Ontologies, 2004

426 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

View Paper: https://www.semanticscholar.org/paper/c0b703e5a9c086ba6f2e3628042abab615bf7859

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

1. M. Suárez-Figueroa
2. Carola Catenacci
3. Massimiliano Ciaramita
4. Jos Lehmann
5. Aldo Gangemi
6. Jens Lehmann
7. María Poveda-Villalón
8. Sören Auer

In Information Systems

1. M. Suárez-Figueroa
2. Carola Catenacci
3. Massimiliano Ciaramita
4. Jos Lehmann
5. Aldo Gangemi
6. María Poveda-Villalón
7. Jens Lehmann
8. Sören Auer

Citations in the corpus

• Quality assessment for Linked Data: A Survey (2015, background): “However, in this article we focus mainly on the quality assessment of instance data.”
• OOPS! (OntOlogy Pitfall Scanner!): An On-line Tool for Ontology Evaluation (2014, methodology): “…first contribution consists of a live and on-line catalogue of pitfalls5 that extends previous works on modeling errors (Allemang, & Hendler, 2011; Gómez-Pérez, 2004; Noy, & McGuinness, 2001; Rector et al., 2004) identified in the ontology engineering field including some persistent problems of…”
• Modelling Ontology Evaluation and Validation (2006, methodology): “Such grid allows to present methods in terms of answers to the following questions: what is the considered method/tool like (Structure)? Subordinately: what is its goal (Goal)? What functions are supported by it (Function)? At which stage of development of an ontology may it be applied (Application)”