• 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: Alacra     Goto   Sponge   NotDistinct   Permalink

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

Type: Thingcompanyschema:Organizationdul:Agentdul:SocialPersonagentwikidata:Q24229398OrganizationBusiness enterpriseyago:WikicatCompaniesBasedInNewYorkyago:WikicatCompaniesEstablishedIn1992yago:Abstraction100002137yago:Company108058098yago:Group100031264yago:Institution108053576yago:Organization108008335yago:YagoLegalActoryago:YagoLegalActorGeoyago:YagoPermanentlyLocatedEntityorganisationyago:SocialGroup107950920yago:WikicatDatabaseCompanies New Facet based on Instances of this Class

Alacra, Inc. is a privately owned American company that provides information and workflow tools to financial institutions, corporations, and professional services firms. The company was founded as Data Downlink Corporation in 1996 by Steven Goldstein and Michael Angle, and was renamed Alacra, Inc. in June 2001. It is headquartered in New York with an office in London. Alacra received praise for going outside traditional media outlets and creating a "data feed produced by monitoring a group of financial commentators that includes bloggers."