一种对语义网上本体查询和检索的新方法(英文)-豆柴文库

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一种对语义网上本体查询和检索的新方法(英文)
ANewApproachtoQueryingandRetrievingOntologiesontheSemanticWeb
Abstract:
TheSemanticWebrepresentsaneweraininformationretrieval,wherestructureddataisstandardisedandlinkedusingontologies.However,traditionalmethodsofqueryingandretrievingontologiesontheSemanticWebfacemanychallenges,includingscalability,efficiency,andaccuracy.Inthispaper,weproposeanewapproachtoovercomethesechallengesbyleveragingthepowerofmachinelearningandnaturallanguageprocessingtechniques.Ourapproachaimstoenhancetheretrievalandqueryingprocess,allowinguserstoeffectivelysearchandretrieverelevantinformationfromontologiesontheSemanticWeb.
1.Introduction
TheSemanticWebhasenabledthecreationandsharingofstructureddatausingontologies.Ontologiesprovideastandardizedwayofdescribingdomains,relationshipsbetweenentities,andtheirproperties.However,efficientlyqueryingandretrievinginformationfromontologiesposessignificantchallengesduetothelargeandcomplexnatureoftheSemanticWeb.Existingmethodsrelyongraph-basedtechniquesorSPARQLqueries,whichcanbetime-consumingandrequireexpertknowledgeinontologymodeling.Toovercometheselimitations,weproposeanewapproachthatleveragesmachinelearningandnaturallanguageprocessing.
2.RelatedWork
Previousresearchhasfocusedonvariousaspectsofontologyqueryingandretrieval,suchasontologyalignment,matching,andreasoning.Whiletheseapproacheshavemadesignificantprogress,theyoftenrelyonmanualeffortorinferencemechanisms,limitingscalabilityandefficiency.Ourapproachdiffersfromthesemethodsasitutilizesmachinelearningalgorithmstoautomatetheprocessandimproveaccuracy.
3.Methodology
Ourapproachconsistsofthreemainsteps:preprocessing,queryformulation,andontologyretrieval.
3.1Preprocessing
Inthisstep,wepreprocesstheontologybyconvertingitintoastructuredformatthatcanbeeasilyanalyzedandsearched.Weusenaturallanguageprocessingtechniquestoextractconcepts,relationships,andpropertiesfromtheontology.Additionally,weemploymachinelearningalgorithmstoidentifyandclassifyentitiesandattributes,whichhelpsinimprovingt