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What is a Knowledge Graph | Stardog

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A Knowledge Graph is a flexible, reusable data layer used for answering complex queries across data silos. They create supreme connectedness with contextualized ... HowKnowledgeGraphsWork LearnhowaKnowledgeGraphworksandwhatsetsStardogapart WhyKnowledgeGraphs? WhatisaKnowledgeGraph? HowKnowledgeGraphsWork GraphDatabasevsEnterpriseKnowledgeGraph BenefitsofKnowledgeGraphs TheStardogDifference KnowledgeGraphUseCases WhyKnowledgeGraphs? AKnowledgeGraphturnsyourdataintomachine-understandableknowledge.Butwhatseparatesdatafromknowledge?Knowingthisansweriskeytounderstandingthedefinitionofknowledgegraphs. Real-worldknowledgeis: situational:meaningaltersdependingoncircumstances layered:associationsbetweenconceptsallowfornuancedunderstanding changing:newdiscoveriesinstantlychangemeanings Thesefacetsofknowledgerepresentthecontextthatisoftenmissingfromdata.Whentraditionaldatamanagementsystemsattempttocapturecontext,theyfail.Thesefailuresgenerategridlockovermasteringdata,delaytimelineswhenaddingnewdatasourcesorproperties,andcausemissingdatasetsfromanalysesthatleadtomistrust. KnowledgeGraphs,ontheotherhand,arepurpose-builtforthefluctuatingnatureofknowledge.Theyofferamoreflexiblefoundationfordigitaloperationsbyeasilyacceptingnewdata,newdefinitions,andnewrequirements. Bornviathetraditionofthesemanticweb,knowledgebaseinstances,suchastheGoogleKnowledgeGraphandtheWikipediaKnowledgeGraph,havepropelledtheirorganizationstoinformationalsuccess. So,whyKnowledgeGraphs?Becausebeingdata-drivenisnotenough—butknowledge-drivenorganizationscanactwithfullcontextandfullconfidenceintheirdecisions. WhatisaKnowledgeGraph? AKnowledgeGraphisaflexible,reusabledatalayerusedforansweringcomplexqueriesacrossdatasilos.Theycreatesupremeconnectednesswithcontextualizeddata,representedandorganizedintheformofgraphs.Builttocapturetheever-changingnatureofknowledge,theyeasilyacceptnewdata,definitions,andrequirements.AnEnterpriseKnowledgeGraphissimplyaKnowledgeGraphofenterprisedata. Adifferentapproach The“graph”inKnowledgeGraphreferstoawayoforganizingdatathathighlightsrelationshipsbetweendatapoints.Graphrepresentationlookslikeanetworkofinterconnectedpoints.ThisisincontrasttodatabaseslikeOracleorMySQL—relationalsystems—wheredataisstoredintables.Relationalsystemsaredesignedforstablebusinessprocesseswherethedatamodeldoesn’tchange. Lessrigidity Thisorientationtostabilitycausesproblematicrigidityindataintegration.Dataintegrationplatforms,basedonrelationalsystems,requirepermanenttransformationofthedatatocreateuniformityacrossallentities.Thiscreatesaso-called“unifiedview”ofdata,butoffersnoflexibilityforanalysisbypreventingrepresentationofsituational,layered,orchangingrealities. Aflexibledatalayer AKnowledgeGraph,withitsabilitytomakereal-worldcontextmachine-understandable,istheidealtoolforenterprisedataintegration.Insteadofintegratingdatabycombiningtables,dataisunifiedusinggraph’sabilitytoendlesslylinkconcepts—withoutchangingtheunderlyingdata.Thus,dataunificationconnectsdatasilosandproducesaflexibledatalayerfortheenterprise. WhatisaKnowledgeGraph? 3:11 Stardog’sLauraFireyandTimSedlakwalkyouthroughthedefinitionofaknowledgegraph,itshistory,andwhereitfitsinthedataecosystem. HowKnowledgeGraphsWork Basedongraph Graph’sflexibilityaloneisnotenoughtoturndataintoknowledge.Graphdatabases—acommonuseofgraph—canacceptnewdatamoreeasilythanrelationaldatabases,butfunctionalityislimitedbyitssingleschema.Butagraphdatabaseimposesonepointofviewoftheworldandrequiresthatbusinesslogiciscodedintotheapplicationdirectly,whereasthelow-codeKnowledgeGraphstoreslogiccentrally. ImplementedOntology Ontologiesdefinedomainknowledge,includingdefinitions,relationships,andrules.AKnowledgeGraphacquiresandintegratesdataintoanontology(ormany)andthenmakesthatknowledgeavailabletoenterpriseapplications. EnhancedbyArtificialIntelligence TheKnowledgeGraph’sInferenceEngineintelligentlyderivesnewknowledgefromthedataandthebusinesslogic.Whenthereareconflictingdefinitions—say,aTopAccountinonedatabaseiscalledsituationallyaProspectorChurnRisk—youcanexpressinthedatamodelthattheseareall“Companies”anduseinferencetoanalyzeallrelevantdata. Limitlessdataaccess AKnowledgeGraphisonlyaspowerfulasthedataitcanaccess.Virtualizationiskeytoincorporatingallrelevantdata,enrichingtheKnowledgeGraph.ThecombinationofKnowledgeGraphsandvirtualizationallowsforfullflexibilitytoevaluatedependenciesacrossdifferentsystemsandstructuresofdata.Tracedatalineage,detectcorrelationandcausation,orperformrootcauseorimpactanalysiswithease. UnleashInsights QuestionansweringismademucheasierwithaKnowledgeGraph.Informationiseasilypreppedforavarietyofuses,includingqueriesandsearch,naturallanguageprocessing,machinelearningalgorithms,andevenvisualizationandbusinessintelligence. GraphDatabasevsEnterpriseKnowledgeGraph WhatdistinguishesanEnterpriseKnowledgeGraphplatformfromaplainoldgraphdatabase?Thedifferenceisusinggraphfordatastorageversususinggraphfordatamanagement. Graphdatabasesareawesome.Wethinktheyaresoawesomethatwebuiltone,fromscratch.Butthatwasn’tenoughtomakeanEnterpriseKnowledgeGraphplatform. PropertyGraphvs.RDFGraphs Firstthingsfirst.Therearetwotypesofmaingraphdatamodels:PropertyGraphsandKnowledge (RDF) Graphs. Thepropertygraphdatamodelgenerallycomprisesthreeelements: Nodes:Theentitiesinthegraph. Edges:Thedirectedlinksbetweennodes.Considerthemrelationships. Properties:Theattributesassociatedwithanodeorwithanedge. TheKnowledge (RDF) Graphmodelcomprisestwoelements:nodesandedges,buttheydifferabitfromthepropertygraphmodel. Inaknowledgegraph,nodescanberesourceswithuniqueidentifiers,ortheycanbevalueswithliteralstrings,integers,orwhatever.Theedges (also calledpredicatesorproperties)arethedirectedlinksbetweennodes. The “from node”ofanedgeiscalledthesubject.The “to node”iscalledtheobject.Whenyouconnecttwonodeswithanedge,youformasubject-predicate-objectstatement,knownasa Triple.Theedgescanbenavigatedandqueriedineitherdirection.So,aKnowledgeGraphisadirectedgraphoftriplestatements. It’salsoimportanttonotethatthereisnotruestandardpropertygraphdatamodel,whereasKnowledgeGraphsdouseastandardmodel,managedbytheWorldWideWebConsortium (W3C). Thismaymeanthatapropertygraphwouldbelessinteroperableinyourorganization.ThestrongstandardizationusedinKnowledgeGraphsalsoeasilyenabletheadditionofknowledgetoolkits. KnowledgeforEnterpriseDataManagement StardogprovidesanEnterpriseKnowledgeGraphplatformwhoseendresultisanEnterpriseKnowledgeGraph. AnEnterpriseKnowledgeGraphplatformenrichesandamplifiesRDFgraph (as adatastructureandadatamodel)intosomethinggreaterthanthesumofitsparts.AnditdoesthisbyaddingaknowledgetoolkittoaGraphDatabase. RealEnterpriseKnowledgeGraphplatformsrequire integratedmachinelearning, dataqualitymanagementtools,query explanation, andmodelchecking.Additionally,asuiteoftoolsandconnectors tomakeiteasytoconnect, map,andmodelallthedatathatmatters,regardlessofitsstructure.Bydeeplyintegratingallthesefeatureswithagraphdatabase,theEnterpriseKnowledgeGraphplatformsupportsamuchwideranddeeperrangeofservices. Relationalsilosandgraphsilos Graphdatabasevendors,includingNeo4j,whichistheleadingpropertygraphdatabase,arebusyturningrelationalsilosintographsilos.Weapplaudthateffort.Graphsilosareoftenbetterthanrelationalsilos.Butattheendoftheday,asiloisstillasilo,whetherit’sgottables,key-valuepairs,ornodesandedgesinsideofit.Andunconnecteddatasucks. BenefitsofKnowledgeGraphs Launchfaster,iterateeasily Stardog’sflexibledatamodelandlow-codeplatformmeaneasierupdates—makingyoumoreresponsivetomarketopportunitiesandcustomerneeds. Agiledata-drivenoperations Translateandautomateeventhemostcomplexbusinessprocesses,savingtimeandmoneybyreplacinglaboriousmanualanalysesandprocedures. Moreaccurateresults Withreal-worldcontextcapturedinyourdata,analyticsarehigher-qualityandsearchresultsaremorerelevant.Empoweremployeestomakebetterdecisionswithunifieddata. ForresterConsultingTEIstudyshowsStardogcandeliver320%ROI Readthisstudytolearnhowseveralcustomersturnedtheirdataintoknowledge,completedtheirdataanalyticsprojectsfaster,savedoninfrastructurecosts,andunlockednewbusinessopportunitieswithStardog. TheStardogDifference Accessanydata AccessthemostpopularSQLandNoSQLdatabasesviaourcustomConnectorsandextractinfofromunstructuredsourceswithourNLPpipeline. Advancedvirtualization Stardog’spatentedvirtualizationaccessesdataremotely—whetheritscloudoron-prem.Nomorecopiesofcopiesofdata. Best-in-classInferenceEngine OurInferenceEnginewasdesignedfromthegrounduptosolvecomplexproblemsandoffersfullexplainabilitysoyoucantrustyourresults. Unifydataforinsight PutyourunifieddatainthehandsofmoreanalystswithourBI/SQLServer,whicheasilyconnectstoSQL-basedBIplatformslikeTableauandPowerBI. Reliableandscalable Stardog’senterprise-readyplatformcanscaleupto1trilliontriples;we’realsoKubernetescompatibleandACID-compliant. KnowledgeGraphUseCases Datafabric Datalakeacceleration Analyticsmodernization Semanticsearch Supplychain Drugdiscovery Datafabric Datalakeacceleration Analyticsmodernization Semanticsearch Supplychain Drugdiscovery BuildyourdatafabricwithStardog’sEnterpriseKnowledgeGraphplatform AnEnterpriseKnowledgeGraphisthekeyingredienttotransformingexistingdatainfrastructureintoadatafabric.Createaflexible,reusabledatalayerforansweringcomplexqueriesacrossdatasilos. Seehow Unlockthepowerofdatalakes Connectyourdatawiththeknowledgegraphbuilttoempowerdatateamstostreamlinedataaccessanddiscoveryandimproveanalyticsinsights. Seehow Unleashyouranalytics Modernizeyourdataplatformwiththeknowledgegraphbuilttoempowerdataandanalyticsteamstoconnectanytypeofdata,uncoverimpactfulinsightsandspeedtimetomarket. Seehow Stopsiftingthroughirrelevantresults Semanticsearchunderstandstheuser’sintentbehindsearchterms,returningmorerelevantresultsinfewerhits.Unifydatafromdisparatesourcestobuildacompleterepositoryofinformation;virtualizationensuresthemostup-to-datedataisaccessed. Seehow Flexibledataexchangeforallstakeholders Supplychainstakeholdersfromproducttomanufacturingtodistributioncreatetheirowndatasilos.Stardogsolvesthedatasiloproblem,unifyingdatafromexistingsystemswithoutchangingtheunderlyingdataandprovidingend-to-endtransparency. Seehow Completetraceabilityenablesdeeperanalysis Dataunificationuncoverscorrelationsacrossdisparatedatasourcesandrepresentsthecomplexinter-relationshipsinherentinbiomedicaldata.Unifyclinicaldata,scientificresearch,diseasemodels,andmoretoacceleratedrugdiscovery. Seehow Learnmore Downloadoure-guidetolearnmoreaboutKnowledgeGraphsandhowtheydifferfromotherdatamanagementtechnologies. Getthefreeguide Thiswebsitestorescookiesonyourcomputerwhichareusedtoimproveyourwebsiteexperienceandprovidemore customizedservicestoyou.Tofindoutmoreaboutthecookiesweuse,seeourprivacypolicy. IAccept

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