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  • 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: WillCall     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : yago:SocialGroup107950920, within Data Space : dbpedia.demo.openlinksw.com associated with source document(s)

Type: Thingcompanyschema:Organizationdul:Agentdul:SocialPersonagentwikidata:Q24229398OrganizationBusiness enterpriseyago:WikicatCompaniesBasedInSanFrancisco,Californiayago:Abstraction100002137yago:Company108058098yago:Group100031264yago:Institution108053576yago:Organization108008335yago:YagoLegalActoryago:YagoLegalActorGeoyago:YagoPermanentlyLocatedEntityorganisationyago:SocialGroup107950920 New Facet based on Instances of this Class

WillCall was a San Francisco-based startup company offering a mobile app for iPhone and Android devices that allowed users to gain admission to live concerts, tip artists, and purchase merchandise during a show. It was named one of the Hottest Startups of 2013 by Forbes. Since its inception, the company had become known for editorial curation, a UX driven product strategy, and social networking integration. It had been called "an Uber for nightlife — one that makes everything from attending shows to buying drinks and merchandise much easier," by TechCrunch.