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1、DynamicDiscoveryofComplexConstraintbasedSemanticWebServicesLeDuyNganDataMiningDepartmentI2RASTARSingapeLimYuanJieTemasekPolytechnicSingapeyuanjie91@RajaramanKanagasabaiDataMiningDepartmentI2RASTARSingapestract—Webservice
2、discoveryistheprocessoffindingwebserviceprovidersthatsatisfyspecificservicerequesterrequirements.Inreallifescenariosservicesareoftendescribedwithcomplexconstraintscontaindynamicaspectsthatarenotadequatelysupptedbymostoft
3、hecurrentdiscoverysystems.InthispaperweproposeanovelOWLSbasedsemanticservicediscoverysystemfdynamicallydiscoveringcomplexconstraintbasedservices.TheproposedsystemisbasedonrepresentingcomplexserviceconstraintsasSemanticWe
4、bRuleLanguage(SWRL)rulesusingaruleenginefmatchmakinghlingdynamismviaarealtimeontologypopulationreasoninginfrastructure.WeconsidertheSemanticWebService(SWS)Challengeshippingdiscoveryscenarioshowwithdetailedillustrationtha
5、toursystemisabletosolveallthefiveservicecomplexitylevelssuccessfully.KeywdswebservicediscoverysemanticwebservicessemanticservicematchmakingontologiessemanticrulesI.INTRODUCTIONAWebserviceisasoftwarecomponentrepresentinga
6、servicewhichisabusinessoperationataskanactivity.IthasbecomeakeytechnologyintheWebasitenablestheinteroperationofheterogeneoussystemsthereuseofdistributedfunctionsinapplications.Astardserviceientedecosystemiscomprisedofser
7、viceprovidersofferingWebservicesservicerequestersdescribingrequirementsindertolocateservices.InsuchanecosystempublishingbindingdiscoveringWebservicesarethreeimptanttasks.Amongthemdiscoveringservicesisafundamentaltaskthat
8、involvestheprocessoffindingwebserviceswhichsatisfyspecificrequirements.CurrentWebservicesbasedonWebServiceDeionLanguage(WSDL)[1]employnaivesyntacticrepresentationstodescribetheservices.Thisleadstoalackofsemanticunderstin
9、gthatpreventsfullyautomaticdiscoverycompositioninteroperability.TowardsaddressingthisSemanticWebService(SWS)fmalisms[2]thatexploitSemanticWebTechnologies[3]havebeenproposedtofacilitaterichfmalrepresentationsofservices.Se
10、veralsemanticWebservicedeionlanguagessuchasOWLS[4]WSMO[5]SAWSDL[6]etc.havebeendeveloped.SemanticWebServicediscoveryleveragesontheSWSfmalismstosearchfserviceproviderssatisfyingaservicerequestersrequirement[10].OWLSMX[7]TU
11、B[8]MOD[9]areexamplesofsuchsystems.Howevermostofthesediscoverysystemssupptservicematchingmainlybasedontheinputparametersrequiredtoexecutetheservicetheserviceoutputthatrepresentstheresultsoftheexecution.Thislimitationispa
12、rtlycausedbythecurrentdeionlanguagese.g.OWLSthathavelimitedsupptfdescribingfunctionalnonfunctionalproperties.Theyareoftennotexpressiveenoughtosupptadvancedservicedeionsthatinvolvecomplexconstraintsthatarecommoninrealwlda
13、pplications[10].Fexampleconsiderashippingscenariowhereashippingprovideroffersaservicetoshipapackagefromoneplacetoanotherplace.Theserviceprovidermayhaveseveralconstraintsonitsserviceasfollows:(1)ShipstoAfricaNthAmericaEur
14、opeAsia(2)Onlypackagesweighing50lbslessareshipped(3)Ifthecollectedtimeisbefe6pmthentheshippingdurationwillbelessthanaday.Ofthesethefirstconstraintcanbedescribedinthestardontologymodelingtheservices.Howeverthisisnottrueft
15、hesecondthethirdconstraintsasthecurrentontologylanguageshavelimitedsupptfsuchcomplexconstraints.Similarlytheservicerequestermayhavesimilarsophisticatedconstraintsintherequests.Towardsmodelingrealwldscenarioswearguethatit
16、isimptanttosupptsuchconstraintdeionsincurrentdeionlanguages.OnanotherdirectionthesemanticdeionofsomeadvertisedWebservicesmaycompletelybeavailableonlybyinvocation.Thismaybethecaseiffexampleitturnsouttobeimpracticaltoprovi
17、deanexhaustivesemanticdeionofthecapabilitiesoffered.Itisdesirablethatthewebservicediscoverysystemsupptsmatchingofserviceprovidersrequestersdynamically.WSMObasedwksthatsupptcomplexconstraintshavebeenreptedintheliterature[
18、1112]butsystemsbasedonOWLSareafew.ThispaperaimstoinvestigateifdynamicdiscoveryofcomplexwebservicesisfeasiblewithOWLSrelatedW3Ctechnologiesalone.WeproposeanovelOWLSbasedsemanticservicediscoverysystemfdynamicallydiscoverin
19、gcomplexconstraintbasedservices.Anovelservicematchmakingmethodisproposedwhen2011FifthIEEEInternationalConferenceonSemanticComputing978076954492211$26.00?2011IEEEDOI10.1109ICSC.2011.3851Thenextsectionpresentsourmethodfdis
20、coveringservicesaccdingtoDefinition2.III.SEMANTICRULEBASEDDYNAMICDISCOVERYSYSTEMA.SupptingConstraintsinOWLSOWLSisaservicedeionfmalismhasstrongsupptfromtheresearchindustrycommunities[15].Itcomprisesthreemainparts:ServiceP
21、rofilewhichisfadvertisingdiscoveringservicecapabilitiesServiceModelwhichgivesadetaileddeionofaservicesoperationServiceGroundingwhichprovidesdetailsonhowtointeroperatewithaserviceviamessages.GenerallyspeakingOWLSServicePr
22、ofileprovidesboththefunctionalnonfunctionalinfmationneededfanagenttodiscoveraservicewhileOWLSServiceModelOWLSServiceGroundingtakentogetherprovideenoughinfmationfanagenttomakeuseofaserviceoncefound.OWLSprovidesagenericway
23、ofrepresentingconditionexpressions2inWebservices.ItsupptssixlanguageslogicsincludingSWRLSWRLFOLDRSKIFSPARQLRDQLcanbeeasilyextendedtosupptotherlogicexpressions.HoweverreasoningsupptoverlogicexpressionsembeddedinOWLSislimi
24、ted.Inthispaperwetakeadifferentapproachwherebywemodelthepreconditionspostconditionsasconstraintsinthedomainontology.AsproofofconceptweadoptSWRL[16]tomodeltheconstraints.SWRLisaproposalfaSemanticWebrulelanguagecombiningsu
25、blanguagesoftheOWLWebOntologyLanguage(OWLDLLite)withthoseoftheRuleMarkupLanguage.TherefeSWRLusesOWLaxiomsenablesHnlikerulestobecombinedwithanOWLknowledgebase.SWRLrulesarewrittenaspairsofantecedent(head)consequent(body)bo
26、thexpressedasaconjunctionofonemeatoms.Aruleexpressesthefollowingmeaning:whenevertheconditionsspecifiedintheantecedentholdthentheconditionsspecifiedintheconsequentmustalsohold.Ruleswithdisjunctiveantecedentscanbeequivalen
27、tlyrewrittenasmultipleruleseachcrespondingtoadisjunct.Similarlyruleswithconjunctiveconsequentscouldbechangedintomultipleruleseachwithanatomicconsequent.ThusSWRLrulesgiveadditionalexpressivitybutattheexpenseofdecidability
28、.InthispaperweconsiderasubsetofSWRLwherethevariablesbindonlytoknowninstancesinanontologybutmaycontainbuiltins.ThesyntaxfSWRLextendstheabstractsyntaxofOWL.Aruleinthissyntaxhasthefm:“antecedentconsequent“wherebothanteceden
29、tconsequentareconjunctionsofatomswrittena1...an.Variablesareindicatedusingthestardconventionofprefixingthemwithaquestionmark(e.g.x)[17].Usingthissyntaxaruleassertingthatthecompositionofparentbrother2:www.ai.damlserviceso
30、wls1.2genericExpression.owlpropertiesimpliestheunclepropertywouldbewrittenas:“parent(xy)^brother(yz)uncle(xz)“.IfBillhasJobasaparentJobhasDavidhasabrotherthenthisrulerequiresthatBillhasDavidasanuncle.Figure1.ASWRLexample
31、SWRLrulesreasonaboutOWLindividualsprimarilyintermsofOWLclassesproperties.FexampleaSWRLruleexpressingthatiftheshippingrequesterexpectstoshipapackagetotheshippingproviderresidinginthesamecountrythentheprovidercansatisfythe
32、requesterisdepictedinFigure1.IntuitivelytheconceptofShippingServiceRequesterShippingServiceProvidercanbecapturedusinganOWLclassshipToisapropertyoftheontology.ExecutingthisrulewouldhavetheeffectofsettingtheShippingProvide
33、rMatchedpropertytoProviderintheindividualthatsatisfiestherulenamedRequester.JessisaruleengineingenvironmentftheJavaplatfm3.Jessissmalllightoneofthefastestruleenginesavailable.Jesshasmanyuniquefeaturesincludingbackwardsch
34、ainingwkingmemyqueriesJesscandirectlymanipulatereasonaboutJavaobjects.OurSWRLrulesareexecutedusingJess.SQWRL[18]isbasedontheSWRLrulelanguageusesSWRLsemanticfoundationasitsfmalunderpinning.ItoffersawaytoallowOWLontologies
35、tobequeried.Italsoprovidesasetofoperatstoperfmclosureoperationstoallowlimitedfmsofnegationasfailurecountingaggregation.B.DynamismfDiscoveryOurapproachusesaninhousesemantictechnologyinfrastructurepoweredbyAllegroGraph44to
36、processtheontologyperfmpopulation&reasoningbefeinvokingthematchmaking.Thestrategyfhlingdynamismisasfollows.Givenaservicerequestfirstanontologyloaderreadsuptheserviceoffersinthereposity.EachserviceoffermayhaveWSDLendpoint
37、scontainingmethodsthatcanbeinvokedonlyduringruntime(e.g.shippingratecomputation).TheneededWSDLmethodsareinvokedbasedontheservicespecificationstheresultsareaddedtotheontologywiththeOntologyPopulationengine.Thematchmakerma
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