• 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: Hurricane Hazel     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : yago:Storm111462526, within Data Space : dbpedia.demo.openlinksw.com associated with source document(s)

Type: Thingyago:AtmosphericPhenomenon111425580yago:Cyclone111443721yago:Flood111454591yago:GeologicalPhenomenon111417672yago:Hurricane111467018yago:NaturalPhenomenon111408559yago:Phenomenon100034213yago:PhysicalEntity100001930yago:PhysicalPhenomenon111419404yago:Process100029677yago:WikicatHurricanesInCanadayago:Windstorm111527014yago:Storm111462526 New Facet based on Instances of this Class

The effects of Hurricane Hazel in Canada included 81 deaths and C$137,552,400 ($1,425,646,253.71 in 2022) in damages. Hazel, the deadliest and costliest storm of the 1954 Atlantic hurricane season, reached Toronto, Ontario by the evening of October 15, 1954. It peaked as a category 4 storm, but by the time it reached Canada, it was an extratropical category 1 storm after merging with an existing cold front south of Ontario. Due to an area of high pressure to the north-east, Hazel stalled over Toronto and lost most of its moisture.