• 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: Prismatic (app)     Goto   Sponge   NotDistinct   Permalink

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

Type: Thingcompanyyago:Abstraction100002137yago:Company108058098yago:Group100031264yago:Institution108053576yago:Organization108008335yago:YagoLegalActoryago:YagoLegalActorGeoyago:YagoPermanentlyLocatedEntityyago:SocialGroup107950920yago:WikicatEnglish-languageMedia New Facet based on Instances of this Class

Prismatic was a social news curation and discovery application for various Web browsers and mobile devices running iOS. It combined machine learning, user experience design, and interaction design to create a new way to discover, consume, and share media. Prismatic software used social network aggregation and machine learning algorithms to filter the content that aligns with the interests of a specific user. Prismatic integrated with Facebook, Twitter, and Pocket to gather information about user's interests and suggest the most relevant stories to read.