Semantic Web in data mining and knowledge discovery: A comprehensive survey

By Petar Ristoski, Heiko Paulheim. Journal of Web Semantics, 2016

336 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/6235dc137a7ce9319e28d24dbff6dd6bc42e75e2

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. Petar Ristoski
2. Gerben de Vries
3. Heiko Paulheim
4. Wei Hu
5. Zequn Sun
6. Partha P. Talukdar
7. Soumya Sanyal
8. Vikram Nitin

In Computer Networks and Communications

1. Gerben de Vries
2. Heiko Paulheim
3. Petar Ristoski

In Information Systems

1. Petar Ristoski
2. Gerben de Vries
3. Heiko Paulheim

Citations in the corpus

• A Collection of Benchmark Datasets for Systematic Evaluations of Machine Learning on the Semantic Web (2016, methodology): “Recent surveys on the use of Semantic Web for machine learning organize the proposed approaches in several categories, i.e., approaches that use Semantic Web data for machine learning [16], approaches that perform machine learning on the Semantic Web [11], and approaches that use machine learning te”