• 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: Million Short     Goto   Sponge   NotDistinct   Permalink

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

Type: Thingsoftwareschema:CreativeWorkschema:WebSiteworkwikidata:Q386724website New Facet based on Instances of this Class

Million Short is a web search engine from Toronto-based startup Exponential Labs. The search engine, which brands itself as “more of a discovery engine,” allows users to filter the top million websites on the internet out of their search, resulting in a unique set of results and placing an emphasis on content discovery. This approach to search is also designed to combat the impact that aggressive black and grey hat SEO practices have on mainstream search results.