ontologies
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Welcome to LOV, your entry point to the growing ecosystem of linked open vocabularies (RDFS or OWL ontologies) used in the Linked Data Cloud . Here you will find vocabularies listed and individually described by metadata, classified by vocabulary spaces, interlinked using the dedicated vocabulary VOAF .
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The Bowlogna ontology aims at providing a standard schema for European universities involved in the Bologna Reform of higher-education studies. The ontology originates from a lexicon defining terms related to the Bologna Reform.
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Welcome to LOV, your entry point to the growing ecosystem of linked open vocabularies (RDFS or OWL ontologies) used in the Linked Data Cloud . Here you will find vocabularies listed and individually described by metadata, classified by vocabulary spaces, interlinked using the dedicated vocabulary VOAF . You will enjoy querying the LOV dataset either at vocabulary level or at element level , exploring the vocabulary content using full-text faceted search , and finding metrics about the use of vocabularies in the Semantic Web.
The core UMBEL ontology now contains about 26,000 reference concepts organized according to 33 super types. There are more than 60,000 relationships amongst these concepts, resulting in a graph structure of very large size.
Overview YAGO2s is a huge semantic knowledge base, derived from Wikipedia WordNet and GeoNames . Currently, YAGO2s has knowledge of more than 10 million entities (like persons, organizations, cities, etc.) and contains more than 120 million facts about these entities. YAGO is special in several ways:
DBpedia is a crowd-sourced community effort to extract structured information from Wikipedia and to make this information available on the Web. DBpedia allows you to make sophisticated queries against Wikipedia, and to link other data sets on the Web to Wikipedia data.