• 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: Wykop.pl     Goto   Sponge   NotDistinct   Permalink

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

Type: Thingschema:CreativeWorkschema:WebSiteworkwikidata:Q386724yago:WikicatWebsitesyago:Artifact100021939yago:Computer103082979yago:Device103183080yago:Instrumentality103575240yago:Machine103699975yago:Object100002684yago:PhysicalEntity100001930organisationwebsiteyago:WebSite106359193yago:Whole100003553yago:WikicatPolishWebsites New Facet based on Instances of this Class

wykop.pl is a Polish social networking internet service, founded on December 28, 2005. It is modeled after the American website digg.com (wykop in the Polish language means dig out). The basic idea behind wykop.pl is the collection of potentially interesting internet-based information and making them available to users. ReadWriteWeb described wykop as a "clone" of Digg. As of 2006, Sebastian Kwiecień, owner of the blog web20.pl, said that it was probably Poland's most popular Web 2.0 website. Other part of service is a microblog based on hashtag system, which can be subscribed.