• 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: Jaime Teevan     Goto   Sponge   NotDistinct   Permalink

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

Type: Thingfoaf:Personpersondul:NaturalPersonEukaryoteHomo sapiensHumanAnimalanimaleukaryotescientistspeciesschema:Personyago:WikicatLivingPeopleyago:WikicatMicrosoftEmployeesyago:WikicatWomenComputerScientistsScientistyago:CausalAgent100007347yago:ComputerScientist109951070yago:ComputerUser109951274yago:Employee110053808yago:LivingThing100004258yago:Object100002684yago:Organism100004475yago:Person100007846yago:PhysicalEntity100001930yago:Worker109632518yago:YagoLegalActoryago:YagoLegalActorGeoyago:Scientist110560637yago:Whole100003553yago:WikicatPeopleInInformationTechnology New Facet based on Instances of this Class

Jaime Teevan is an American computer scientist known for her research in human-computer interaction and information retrieval. She is particularly known for the work she has done on personalized search. According to the Technology Review, Teevan "is a leader in using data about people's knowledge, preferences, and habits to help them manage information."