This HTML5 document contains 20 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
dcthttp://purl.org/dc/terms/
dbohttp://dbpedia.org/ontology/
foafhttp://xmlns.com/foaf/0.1/
n14https://global.dbpedia.org/id/
rdfshttp://www.w3.org/2000/01/rdf-schema#
n13http://www.idsia.ch/~alessio/
freebasehttp://rdf.freebase.com/ns/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
owlhttp://www.w3.org/2002/07/owl#
wikipedia-enhttp://en.wikipedia.org/wiki/
dbchttp://dbpedia.org/resource/Category:
provhttp://www.w3.org/ns/prov#
xsdhhttp://www.w3.org/2001/XMLSchema#
wikidatahttp://www.wikidata.org/entity/
goldhttp://purl.org/linguistics/gold/
dbrhttp://dbpedia.org/resource/

Statements

Subject Item
dbr:Valuation-based_system
rdf:type
dbo:Software
rdfs:label
Valuation-based system
rdfs:comment
Valuation-based system (VBS) is a framework for knowledge representation and inference. Real-world problems are modeled in this framework by a network of interrelated entities, called variables. The relationships between variables (possibly uncertain or imprecise) are represented by the functions called valuations. The two basic operations for performing inference in a VBS are combination and marginalization. Combination corresponds to the aggregation of knowledge, while marginalization refers to the focusing (coarsening) of it. VBSs were introduced by Prakash P. Shenoy in 1989 as general frameworks for managing uncertainty in expert systems.
foaf:isPrimaryTopicOf
wikipedia-en:Valuation-based_system
dct:subject
dbc:Logic
dbo:wikiPageID
13789137
dbo:wikiPageRevisionID
533060408
dbo:wikiPageWikiLink
dbr:Shenoy dbr:Expert_system dbc:Logic dbr:Knowledge_representation_and_reasoning dbr:Knowledge_representation
dbo:wikiPageExternalLink
n13:TAES-VBS.pdf
owl:sameAs
freebase:m.03cj9zz wikidata:Q7912694 n14:4x3gv
dbo:abstract
Valuation-based system (VBS) is a framework for knowledge representation and inference. Real-world problems are modeled in this framework by a network of interrelated entities, called variables. The relationships between variables (possibly uncertain or imprecise) are represented by the functions called valuations. The two basic operations for performing inference in a VBS are combination and marginalization. Combination corresponds to the aggregation of knowledge, while marginalization refers to the focusing (coarsening) of it. VBSs were introduced by Prakash P. Shenoy in 1989 as general frameworks for managing uncertainty in expert systems.
prov:wasDerivedFrom
wikipedia-en:Valuation-based_system?oldid=533060408&ns=0
dbo:wikiPageLength
1519
gold:hypernym
dbr:Framework