DL-Learner—A framework for inductive learning on the Semantic Web
In this system paper, we describe the DL-Learner framework, which supports supervised
machine learning using OWL and RDF for background knowledge representation. It can be
beneficial in various data and schema analysis tasks with applications in different standard
machine learning scenarios, eg in the life sciences, as well as Semantic Web specific
applications such as ontology learning and enrichment. Since its creation in 2007, it has
become the main OWL and RDF-based software framework for supervised structured …
machine learning using OWL and RDF for background knowledge representation. It can be
beneficial in various data and schema analysis tasks with applications in different standard
machine learning scenarios, eg in the life sciences, as well as Semantic Web specific
applications such as ontology learning and enrichment. Since its creation in 2007, it has
become the main OWL and RDF-based software framework for supervised structured …
以上显示的是最相近的搜索结果。 查看全部搜索结果