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INDUSTRYCONNECTIONSWHITEPAPER
IEEEDECENTRALIZEDMETAVERSEINITIATIVE
WEB3.0:
THEEVOLUTIONOFINFORMATION-CENTRICNETWORKS
Authoredby
NingHu
Member-at-Large,IEEEDigitalFinanceandEconomyStandardsCommittee
DaozhuangLin
Chair,IEEEDecentralizedMetaverseInitiative
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ACKNOWLEDGMENTS
Specialthanksaregiventotheeditorialandreviewgroupofthispaperasfollows:
LingfengBaoXiaofengChenHuiDingHiromiKomuro
RameshRamadossDianaYunlingShiZhenYang
PeterYeZihangYinYuYuan
WeiweiZhuang
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ABSTRACT 6
TABL
EOFC
ONTENTS
INTRODUCTION 7
OVERVIEW 7
WEB1.0:THEFOUNDATION 7
WEB2.0:THESOCIALWEB 7
WEB3.0:THEINFORMATION-CENTRICNETWORK 8
FRAMEWORKOVERVIEW 8
CORECOMPONENTS 9
OVERVIEW 9
WEB2.0(WEB1.0/INFORMATIONTECHNOLOGYSYSTEMS)
INFRASTRUCTURE 9
DIKWNETWORK 10
VALUABLEWEBKIT 10
APPLICATIONECOSYSTEM 11
OVERVIEW 11
DATAANDINFORMATIONVALUEMODELS 11
OVERVIEW 11
COLLECTIBLEDATA(VALUABLEINPUT) 11
CONSUMABLEINFORMATION(USAGEOUTPUT) 11
DIKWVALUEMODEL 12
CONTENTGENERATION 12
M4W3PROTOCOL 13
PRIVACYANDSECURITY 14
OVERVIEW 14
DATASOVEREIGNTYANDPRIVACYPRESERVATION 14
TRUSTLESSVALUEASSESSMENTANDEXCHANGE 14
PRECISIONSYSTEMS 15
OVERVIEW 15
QUANTITATIVEANALYSISCAPABILITIES 15
INTEGRATIONWITHAIGC/LLMTECHNOLOGIES 16
CHALLENGESANDFUTUREDIRECTIONS 16
OVERVIEW 16
ADOPTIONBARRIERS 17
OVERVIEW 17
TECHNICALCOMPLEXITY 17
NETWORKEFFECTSANDCRITICALMASS 17
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REGULATORYCOMPLIANCE 17
EDUCATIONANDAWARENESS 18
REGULATORYCONSIDERATIONS 18
OVERVIEW 18
DATAPROTECTIONANDPRIVACY 18
INTELLECTUALPROPERTYRIGHTS 18
ANTITRUSTANDCOMPETITION 19
FINANCIALREGULATIONS 19
POTENTIALFORFURTHEREVOLUTION 19
OVERVIEW 19
ADVANCEDAIINTEGRATION 19
QUANTUMCOMPUTINGINTEGRATION 20
EXTENDEDREALITY(XR)INTEGRATION 20
BIO-DIGITALCONVERGENCE 20
DECENTRALIZEDAUTONOMOUSORGANIZATIONS(DAOS) 21
INTERPLANETARYINFORMATIONSYSTEMS 21
CONCLUSION 22
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WEB3.0REPORT:THEEVOLUTIONOFINFORMATION-CENTRICNETWORKS
ABSTRACT
Aparadigmshiftintheorganization,utilization,andvaluationofinformationontheinternetisrepresentedbyWeb3.0.TheWeb3.0framework,aninnovativeecosystemthatcombinesthestrengthsofWeb2.0,artificialintelligence(AI),andblockchaintechnologiestocreateamoreefficient,valuable,andinformation-centricnetworkisintroducedinthiswhitepaper.KeyaspectsofWeb3.0includetheevolutionofwebtechnologies,corecomponentssuchasWeb2.0infrastructure,data,information,knowledge,wisdom(DIKW)network,andvaluablewebkit,aswellasanewapproachtoinformationorganizationthroughcollectibledataandconsumableinformation.InteractionsbetweenthesecomponentsareorchestratedbytheMetaforWeb3.0(M4W3)protocol.TheDIKWhierarchyisleveragedbytheknowledgevaluemodel,enablingsophisticatedvaluationandtransformationofinformationassets.Robustprotectionofprivatedataanddomainknowledgeisensuredbyprivacyandsecuritymechanisms,addressingcriticalchallengesinthecurrentinternetecosystem.
TheaimofWeb3.0istorevolutionizehowusersinteractwithandderivevaluefrominformationinthedigitalage.Byprovidingaframeworkforefficientinformationorganization,valuecreation,andprivacypreservation,solutionstocriticalchallengesfacingthecurrentinternetecosystemareoffered.Thetechnicalarchitecture,economicmodel,andpotentialimpactofWeb3.0aredetailedinthiswhitepaper,andavisionforamoreintelligent,valuable,anduser-empoweringwebispresented.Inanincreasinglydata-drivenfuture,Web3.0couldplayacrucialroleinshapingthenextgenerationofinternettechnologiesandapplications,demonstratingthepotentialfortransformativegrowthandinnovationinthedigitallandscape.
INTRODUCTION
OVERVIEW
TheevolutionoftheWorldWideWebcanbecategorizedintothreeprimarystages,eachrepresentingsignificantadvancementsinhowinformationissharedandutilized.Web3.0aimstopushtheseadvancementsfurther,creatinganetworkthatorganizesinformationefficientlyandenhancesitsintrinsicvaluethroughdynamicprocesses.
WEB1.0:THEFOUNDATION
Web1.0,conceptualizedas(1+xinfo)1,markedthebeginningoftheinterneterawithstatic,one-waycontentsharing.Webportalsdominatedthisera,providinguserswithinformationwithoutinteractiveorsocialfeatures.
Inthisstage,websiteswereprimarilyread-only,offeringlimiteduserinteraction.Themainfocuswasondeliveringinformation,andcontentwascreatedandmanagedbyasmallgroupofpeople.Usershadverylittleabilitytocontributeorinteractwiththecontent.Despiteitslimitations,Web1.0laidtheessentialgroundworkforthedigitalinformationage,settingthestageforfuturedevelopments.
WEB2.0:THESOCIALWEB
Web2.0,expressedas(1+xinfo)2,introducedaneweraofsociallinksandrelationalcontent.Thisstagesawtheriseofsocialmediaplatformsandinteractivewebapplications,transforminghowpeopleconnectedandsharedinformation.
ThehallmarkofWeb2.0wasuser-generatedcontentandincreasedinteractivity.PlatformslikeFacebook,Twitter,andYouTubeenableduserstocreate,share,andcommentoncontent,fosteringasenseofcommunityandcollaboration.Thisshiftnotonlychangedthewaycontentwasconsumedbutalsohowitwasproduced,withusersbecomingactiveparticipantsinthedigitalecosystem.TherelationalaspectofWeb2.0allowedformorepersonalizedandrelevantinformationdissemination,pavingthewayforthenextevolutionoftheweb.
WEB3.0:THEINFORMATION-CENTRICNETWORK
Web3.0,illustratedas(1+xinfo)3,envisionsanadvanced,information-centricnetworkwheresocialclass,self-sovereigncontent,andcontentassetizationarekey.Thisstageintegratesadvancedtechnologiestomanageandupgrade/downgradeinformationvaluedynamically.
Web3.0aimstodemonstratethetruevalueofinformationanddata,creatingasystemwhereinformationisnotonlyconsumedbutalsotransformedandenhanced.Byleveragingblockchain,artificialintelligence(AI),andmulti-modalanalysis,Web3.0createsadynamicenvironmentwheredatacanevolve,generatingnewvalueandinsights.Thisecosystemsupportsawiderangeofapplications,fromsocialplatformstoenterprisesystems,enablingamoreefficientandvaluablewebexperience.
FRAMEWORKOVERVIEW
TheWeb3.0frameworkconsistsofseveralinterconnectedcomponentsandanapplicationecosystemdesignedtomaximizethevalueofdataandinformation.Theframeworkhelpstoensurethatthecorecomponents—Web
2.0infrastructure,data,information,knowledge,wisdom(DIKW)network,andvaluablewebkit—workseamlesslytogethertosupportadvancedcontentgenerationandmanagement.
FIGURE1Web3.0framework
TheWeb3.0frameworkinnovativelyfeaturesthefollowing:
Corecomponents:ThesefoundationalelementsincludetheWeb2.0infrastructure,DIKWnetwork,andvaluablewebkit,eachcontributinguniquecapabilitiestotheWeb3.0ecosystem.
Applicationecosystem:Applicationsutilizethecorecomponentstofullyleveragethedataandinformationvaluemodel,enablingdynamiccontentcreationandvaluegeneration.
M4W3protocol:Servingasthemiddleware,theM4W3protocollinksthecorecomponentsandformstheapplicationecosystem,ensuringinteroperabilityandefficientinformationservices.
CORECOMPONENTS
OVERVIEW
Web3.0’sinfrastructureisbuiltonthreecorecomponents:theexistingWeb2.0(andWeb1.0)infrastructure,DIKWnetwork,andvaluablewebkit.Thesecomponentsworktogether,orchestratedbytheM4W3protocol,tocreatearobustanddynamicinformation-centricnetwork.
WEB2.0(WEB1.0/INFORMATIONTECHNOLOGYSYSTEMS)INFRASTRUCTURE
ThefoundationalinfrastructureofWeb3.0buildsupontheexistingWeb2.0andWeb1.0systems.Thesesystemsprovidethenecessaryprecisionandquantitativeanalysiscapabilitiestohandletasksandworkflowsaccurately.Theintegrationoftheselegacysystemsensurescontinuityandreliabilitywhilelayingthegroundworkformoreadvancedfunctionalities.
Web2.0infrastructureincludesrobustwebapplications,socialmediaplatforms,andrelationaldatabases.ThesesystemsfacilitateinteractiveandcollaborativewebexperiencesthatareessentialforthedynamicnatureofWeb3.0.ByleveragingtheestablishedstrengthsofWeb2.0,thenewecosystemcanbuildonasolidfoundationwhileintroducinginnovativefeatures.
Furthermore,Web1.0’sstaticandone-waycontentdeliverymethodsstillplayaroleincertaincontexts.ThesesystemssupportbasicinformationalneedsandprovideareliablebaselineformoreadvancedcontentmanipulationandcreationinWeb3.0.
DIKWNETWORK
Thedata,information,knowledge,wisdom(DIKW)networkisanadvancedframeworkthatgeneratesnew,human-friendlyinformationthroughlinkeddata.Thisnetworkutilizesmulti-modalqualitativeanalysistechniques,incorporatingknowledgegraphsandmulti-modaltransformerAI-generatedcontent(AIGC)/largelanguagemodel(LLM)technologies.Bytransformingrawdataintomeaningfulinsights,theDIKWnetworkenhancesthevalueofinformationwithintheWeb3.0ecosystem.
KnowledgegraphsplayacriticalroleintheDIKWnetworkbyorganizingandinterlinkingdatapointstorevealpatternsandrelationships.Thesegraphsfacilitatethetransitionfromrawdatatoactionableknowledge,enablingmoreinformeddecision-makingprocesses.TheintegrationofAI-driventechnologiesfurtherenhancesthiscapability,allowingformoresophisticatedanalysisandinsightgeneration.
Multi-modaltransformerAIGC/LLMtechnologiesaddanotherlayerofsophisticationtotheDIKWnetwork.Thesetechnologiesenabletheanalysisandgenerationofcontentacrossvariousformats,includingtext,images,andaudio.Byleveragingtheseadvancedtools,theDIKWnetworkcanproducemorecomprehensiveandcontextuallyrichinformation,drivinggreatervaluecreationwithintheWeb3.0ecosystem.
VALUABLEWEBKIT
Valuablewebkitleveragesblockchainanddistributedledgertechnology(DLT)toprovideself-sovereign,rightconfirmation,andtrustlessvalueassessmentandexchangeservices.Thesefeatureswerepreviouslyencapsulatedunderthetermweb3aftertheWeb3Foundation.Byensuringtheauthenticityandownershipofdigitalassets,valuablewebkitplaysacrucialroleintheWeb3.0ecosystem.
Blockchaintechnologyoffersasecureandtransparentwaytomanagedigitalassetsandtransactions.Itenablesuserstohavefullcontrolovertheirdata,ensuringthattheirrightsareprotected.Thedecentralizednatureofblockchainalsoeliminatestheneedforintermediaries,reducingcostsandincreasingefficiency.
DLTenhancesthecapabilitiesofblockchainbyprovidingamorescalableandversatileframeworkformanagingdigitalassets.Itallowsfortheseamlessintegrationofvariousdigitalassetsandservices,facilitatingthecreationofamoreinterconnectedandinteroperabledigitalecosystem.ThecombinationofblockchainandDLTinvaluablewebkitensuresarobustandreliableinfrastructurefordigitalassetmanagementinWeb3.0.
APPLICATIONECOSYSTEM
OVERVIEW
ApplicationsintheWeb3.0ecosystemleveragethecorecomponentstofullyutilizethedataandinformationvaluemodel.Thismodelenablesdynamiccontentcreationandvaluegenerationbytransformingcollectibledataintoconsumableinformationandviceversa.
DATAANDINFORMATIONVALUEMODELS
OVERVIEW
TheWeb3.0ecosystemutilizesadvanceddataandinformationvaluemodelstomanagethetransformationandvaluationofinformation.Thesemodelsensurethatdataiseffectivelycollected,transformed,andutilized,generatingnewvalueandinsights.
COLLECTIBLEDATA(VALUABLEINPUT)
Thetermcollectibledatareferstodatathatcanbecollectedandholdsintrinsicvalue.Thesedataserveasthefoundationalinputforgeneratingnewinformation.
IntheWeb3.0ecosystem,collectibledataareidentifiedandgatheredbasedonitspotentialvalue.Thesedataformthebasisforgeneratingnewinformationandinsights.Bycollectingvaluabledata,thesystemensuresthattheinputsareofhighqualityandrelevance,settingthestageformeaningfulanalysisandtransformation.
Collectingdatainvolvesidentifyingsources,validatingauthenticity,andassessingpotentialvalue.Thisrigorousapproachensuresthatonlyvaluableandrelevantdataareincludedinthesystem.Oncecollected,thesedatabecomethefoundationforgeneratingconsumableinformation,drivingthecontinuousevolutionoftheWeb
3.0ecosystem.
CONSUMABLEINFORMATION(USAGEOUTPUT)
Consumableinformationisderivedfromcollectibledataandcanbeusedinvariousoutputs.Consumerapplicationscangeneratenewvaluebasedondifferentusagescenarios,accumulatingconsumabledatavalueandpotentiallytransformingitbackintocollectibledatawithaddedvalue.
Consumableinformationiscreatedthroughthetransformationofcollectibledata.Thisprocessinvolvesanalyzing,contextualizing,andenrichingthedatatogeneratemeaningfulinsightsandinformation.Theresultingconsumableinformationcanbeusedinvariousapplications,frombusinessintelligenceanddecision-makingtopersonalizeduserexperiences.Byleveragingthisinformation,applicationscancreatenewvalueanddriveinnovation.
Asconsumableinformationisused,itcanaccumulateadditionalvaluebasedonitsapplicationandimpact.Insomecases,thisinformationcanbetransformedbackintocollectibledata,withenhancedvalueandrelevance.Thisdynamicprocessensuresthatinformationiscontinuouslyevolvingandimproving,drivingthegrowthandadvancementoftheWeb3.0ecosystem.
DIKWVALUEMODEL
MappingtotheDIKWvaluemodel,Web3.0leveragestheknowledgevaluemodeltomanagetheupgrading,downgrading,andrelationshipsbetweencollectibledataandconsumableinformation.
TheDIKWvaluemodelprovidesastructuredframeworkfortransformingdataintovaluableinformationandknowledge.BymappingthismodeltotheWeb3.0ecosystem,thesystemcanmanagetherelationshipsbetweendifferenttypesofdataandinformation.Thismodelensuresthatdataiseffectivelytransformedintoknowledge,drivingcontinuousvaluegeneration.
Theknowledgevaluemodelhelpsmanagetheupgradeanddowngradeprocesses,ensuringthatinformationisalwaysrelevantandvaluable.Byassessingthevalueofdataandinformation,thesystemcandeterminewhentoupgradeconsumableinformationtocollectibledataordowngradeitbasedonitsrelevanceandimpact.ThisdynamicapproachensuresthattheWeb3.0ecosystemremainsadaptiveandresponsivetochangingneedsandinsights.
CONTENTGENERATION
ContentgenerationinWeb3.0encompassesawiderangeofactivities,includinginformationtechnology(IT)system-generatedcontent,AIgenerativecontent,andAIagent-drivenwebapplicationcontent.Thesediversecontentsourcescontributetotherichnessanddynamismoftheecosystem,enablingmoresophisticatedandvaluablecontent-creationprocesses.
ITsystem-generatedcontentincludesdataproducedbytraditionalinformationsystems,suchasdatabases,
enterprisesoftware,andotherdigitaltools.Thiscontentservesasthefoundationallayerformoreadvancedcontentgenerationprocesses.ByleveragingexistingITsystems,Web3.0ensurescontinuityandreliabilitywhileintroducingnewcapabilities.
AIgenerativecontentiscreatedbyartificialintelligencealgorithms,suchasmachinelearningmodelsandgenerativeadversarialnetworks(GANs).Thesetechnologiesenablethecreationofhighlycustomizedandcontextuallyrelevantcontent,enhancingtheoverallvalueoftheWeb3.0ecosystem.AIgenerativecontentcanincludeeverythingfromtextandimagestoaudioandvideo,providingarichanddiversecontentlandscape.
AIagent-drivenwebapplicationcontentinvolvescontentcreatedandmanagedbyintelligentagentsoperatingwithinwebapplications.Theseagentscanautomatevarioustasks,suchascontentcreation,curation,andpersonalization,enablingmoreefficientandeffectivecontent-managementprocesses.ByleveragingAI-drivenagents,Web3.0canofferamoredynamicandresponsivecontentecosystem.
M4W3PROTOCOL
TheM4W3protocolorganizesthecorecomponents,facilitatinginformationservicesthatmanagecollectibledataandconsumableinformationintheWeb3.0ecosystem.
TheM4W3protocolservesasthebackboneofWeb3.0,orchestratingtheinteractionbetweendifferentcomponentsandensuringseamlessdataflowandintegration.Itmanagesthelifecycleofdata,fromcollectionandtransformationtoconsumptionandassetization.Byorganizingcollectibleandconsumabledata,theM4W3protocolensuresthatinformationisusedefficientlyandeffectively,maximizingitsvalue.
Thisprotocolalsosupportsdynamicdataupgradesanddowngrades,enablingthesystemtoadapttonewinsightsandchangingrequirements.Bycontinuallyassessingandupdatingthevalueofinformation,theM4W3protocolensuresthattheWeb3.0ecosystemremainsrelevantandvaluable.Thisdynamicapproachallowsforcontinuousimprovementandinnovation,drivingtheevolutionoftheweb.
PRIVACYANDSECURITY
OVERVIEW
PrivacyandsecurityarecriticalcomponentsoftheWeb3.0ecosystem,ensuringthatusersretaincontrolovertheirdatawhileengaginginthenetwork.Valuablewebkitaddressestheseneeds,providingrobustmechanismsfordataprotectionandprivacypreservation.
DATASOVEREIGNTYANDPRIVACYPRESERVATION
Valuablewebkitaddressestheneedforopenuserscenariosinvolvingprivatedata,privatedomainknowledge,andprivacypreservation.ThisensuresthatusersretaincontrolovertheirdatawhileengagingintheWeb3.0ecosystem.
Datasovereigntyisakeyconcerninthedigitalage,withusersdemandinggreatercontrolovertheirpersonalinformation.Valuablewebkitaddressesthisneedbyprovidingmechanismsforself-sovereigndatamanagement.Userscancontrolaccesstotheirdata,ensuringthatitisonlyusedwiththeirconsentandforintendedpurposes.Thisapproachenhancesusertrustandengagement,creatingamoresecureanduser-friendlyecosystem.
Privacypreservationisalsoacriticalcomponentofvaluablewebkit.Byimplementingadvancedprivacy-preservingtechnologies,thesystemensuresthatpersonalinformationisprotectedfromunauthorizedaccessandmisuse.Thisincludestechniquessuchasencryption,anonymization,andsecuredatasharing.Byprioritizingprivacy,valuablewebkitensuresthatuserscanengageintheWeb3.0ecosystemwithconfidenceandpeaceofmind.
TRUSTLESSVALUEASSESSMENTANDEXCHANGE
LeveragingblockchainandDLT,valuablewebkitofferstrustlessvalueassessmentandexchangeservices.Theseservicesensurethatdatatransactionsaresecure,transparent,andverifiable,enhancingtrustandreducingtheneedforintermediaries.
Blockchaintechnologyprovidesatrustlessenvironmentwheretransactionscanbeconductedsecurelyandtransparently.Valuablewebkitleveragesthistechnologytofacilitatevalueassessmentandexchangeservices,ensuringthatdataownershipandtransactionsareverifiableandtamper-proof.Thisapproachreducestheneedforintermediaries,loweringcostsandincreasingefficiency.
Thetrustlessvalueassessmentmechanismensuresthatthevalueofdataandinformationisaccuratelydeterminedbasedontransparentandobjectivecriteria.Thismechanismenhancesthefairnessandreliabilityoftransactions,fosteringamoreequitableandefficientecosystem.Byprovidingsecureandtransparentexchangeservices,valuablewebkitensuresthatuserscanengageintheWeb3.0ecosystemwithconfidence.
PRECISIONSYSTEMS
OVERVIEW
Precisionsystemsareessentialformanagingandprocessingdataaccurately,supportingthedynamicandevolvingnatureoftheWeb3.0ecosystem.Thesesystemsensurethatquantitativeanalysisandnumericalcalculationsareperformedwithhighlevelsofaccuracyandreliability.
QUANTITATIVEANALYSISCAPABILITIES
Web2.0infrastructureoffersrobustcapabilitiesforquantitativeanalysisandnumericalcalculations,whichareessentialformanagingandprocessingvastamountsofdataaccurately.Thesesystemsensurethatexistingtasksandworkflowsarehandledefficiently,layingastablefoundationformoreadvancedfunctionalities.
Quantitativeanalysiscapabilitiesarecrucialforapplicationsthatrequirepreciseandreliabledataprocessing.Web2.0infrastructureprovidesthenecessarytoolsandframeworksforperformingthesetasksaccurately.Thisincludesstatisticalanalysis,datamodeling,andnumericalcalculations.Byleveragingthesecapabilities,theWeb
3.0ecosystemcanensurethatdataisprocessedandanalyzedwithhighlevelsofaccuracy,supportinginformeddecision-makingandeffectiveinformationmanagement.
DespitetheadvancementsinAIandmachinelearning,therearetasksthatstillrequiretheprecisionandreliabilityoftraditionalquantitativeanalysissystems.TheintegrationofWeb2.0infrastructureinWeb3.0
ensuresthatthesetasksareperformedaccurately,supportingthedynamicandevolvingnatureofthenewecosyste
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