Difference between revisions of "Detecting patterns in ontology usage"

vocabularies is often desirable. However, sometimes it is not clear which ontology should be preferable or which term is best suited for a specific application. The aim of this project is to detect patterns in ontology usage by harvesting ontologies using a given schema and analyzing how people are using them in practice. The resulting application should download ontologies from the main Semantic Search Engines, parse them and calculate statistics about the terms used inside them. The tool should show these statistics, save them in an appropriate format and make them available through an API for use by external applications.