A SURVEY OF ONTOLOGY EVALUATION TECHNIQUES

By Janez Brank, Marko Grobelnik. 2005

760 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/c15e3ad08e22705bacdd8aa102765cbd5a7ff62e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Ibrahim Khalil
2. Abdullah Alamri
3. Adil Fahad
4. Abdelaziz Bouras
5. Wilson Wong
6. Wei Liu
7. Mohammed Bennamoun
8. Zahir Tari

Citations in the corpus

• Ontology learning from text: A look back and into the future (2012, background): “Generally, these approaches can be grouped into one of the following three main categories depending on the kind of ontologies that are being evaluated and the purpose of the evaluation [Brank et al. 2005].”
• A Survey of Clustering Algorithms for Big Data: Taxonomy and Empirical Analysis (2014, background): “Despite a vast number of surveys for clustering algorithms available in the literature [1], [2], [7], and [38] for various domains (such as machine learning, data mining, information retrieval, pattern recognition, bio-informatics and semantic ontology), it is difficult for users to decide a priori…”