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Semantic Web

July 14, 2004 A new survey of ontology editors was conducted as a follow-up to an initial survey conducted in 2002. The results of the survey are summarized in this article. The results of the original survey may be found at www.xml.com/pub/a/2002/11/06/ontologies.html . http://www.xml.com/pub/a/2004/07/14/onto.html

Ontology Tools Survey, Revisited

The Protégé Ontology Editor and Knowledge Acquisition System

http://protege.stanford.edu/ Protégé is a free , open source ontology editor and knowledge-base framework. The Protégé platform supports two main ways of modeling ontologies via the Protégé-Frames and Protégé-OWL editors. Protégé ontologies can be exported into a variety of formats including RDF(S), OWL, and XML Schema. (more) Protégé is based on Java, is extensible, and provides a plug-and-play environment that makes it a flexible base for rapid prototyping and application development. (more)
linked semantic web data

Hofstadter

Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, Jake Vanderplas, Alexandre Passos, David Cournapeau, Matthieu Brucher, Matthieu Perrot, Édouard Duchesnay ; 12(Oct):2825−2830, 2011. Abstract Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems. This package focuses on bringing machine learning to non-specialists using a general-purpose high-level language. Emphasis is put on ease of use, performance, documentation, and API consistency. It has minimal dependencies and is distributed under the simplified BSD license, encouraging its use in both academic and commercial settings. http://jmlr.csail.mit.edu/papers/v12/pedregosa11a.html

Machine Learning en python