• Facets (new session)
• Description
• Metadata
• Settings
  • Rule: ActivityStreamsMapasEquivalentb3sb3sifpdbprdf-labelfacetshttp://dbpedia.org/resource/inference/rules/dbpedia#http://dbpedia.org/resource/inference/rules/opencyc#http://dbpedia.org/resource/inference/rules/umbel#http://dbpedia.org/resource/inference/rules/yago#http://dbpedia.org/schema/property_rules#http://www.ontologyportal.org/inference/rules/SUMO#http://www.ontologyportal.org/inference/rules/WordNet#http://www.w3.org/2002/07/owl#ldpoplwebskos-transurn:det:rdf:labelvirtrdf-labelvirtrdf-urlNone
    
  • Inverse Functional Properties: Disabled (fastest) Apply to subjects only Apply to objects only Apply to both subjects and objects
  • "Same As": Disabled (fastest) Apply to subjects only Apply to objects only Apply to both subjects and objects (recommended) Apply to subjects, objects and predicates (not recommended on big datasets) Apply to predicates only (special use cases only)

About: Calais (Reuters product)     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : yago:Service100577525, within Data Space : dbpedia.org:8891 associated with source document(s)

Type: yago:WikicatWebServicesyago:Abstraction100002137yago:Act100030358yago:Activity100407535yago:Event100029378yago:PsychologicalFeature100023100yago:Work100575741yago:YagoPermanentlyLocatedEntityorganisationyago:Service100577525 New Facet based on Instances of this Class

Calais is a service by Thomson Reuters that automatically extracts semantic information from web pages in a format that can be used on the semantic web. Calais was launched in January 2008, and is free to use. The technology is now available via the website of Refinitiv, a provider of financial market data and infrastructure founded in 2018 that is a subsidiary of London Stock Exchange Group. The technology has also been used to automatically tag blog articles and organize museum collections. Calais uses natural language processing technologies delivered via a web service interface.