• 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: Metal theft     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : yago:Substance100019613, within Data Space : dbpedia.demo.openlinksw.com associated with source document(s)

Type: Thingyago:WikicatMetalsyago:Abstraction100002137yago:ChemicalElement114622893yago:Matter100020827yago:MetallicElement114625458yago:Part113809207yago:PhysicalEntity100001930yago:Relation100031921yago:Substance100019613 New Facet based on Instances of this Class

Metal theft is "the theft of items for the value of their constituent metals". It usually increases when worldwide prices for scrap metal rise, as has happened dramatically due to rapid industrialization in India and China. Apart from precious metals like gold and silver, the metals most commonly stolen are non-ferrous metals such as copper, aluminium, brass, and bronze. However, even cast iron and steel are seeing higher rates of theft due to increased scrap metal prices.