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1、EfficientQueryEvaluationOverProbabilisticXMLWithLong-DistanceDependenciesAsmaSouihliInstitutTélécom;TélécomParisTech;CNRSLTCIParis,Francefirst.last@telecom-paristech.frAdvisor:PierreSenellartABSTRACTthequeryistrue.ApropersystemformanagingprobabilisticXM
2、Linformationisexpectedtoecientlycalculatetheprob-Weaddresstheproblemofqueryingprobabilisticsemistruc-abilityofagivenqueryinanexactwaywheneverpossible,tureddatabasesinviewofthetradeobetweentheeciencyortoapproximateit(e.g.,throughMonteCarlomethods).o
3、fevaluationandtheabilitytomodelprobabilisticdepen-PreviousworkbyKimelfeld,Kosharovsky,andSagiv[15]denciesbetweenelementsofthetree.Weintroduce,throughhasshownthat,ingeneral,computationisintractableun-adiscussionofseveralchallenges,theProApproXquerypro-
4、derdatacomplexity,andapproximationisintractableundercessoroverprobabilisticXMLasarststeptowardsbuildingquery-and-datacomplexity.Nevertheless,severalrestrictionsafull-
etchedprobabilisticsemistructureddatamanagementmaketheproblemeasiertohandleandmanyo
5、ptimizationssystem.ProApproXaimsatecientdataqueryingofacanreducetherunningtimecost.comparativelylargersubsetoftheXPathquerylanguageTheobjectiveofthisPhDresearchistondformalmodelsthanwasprocessedbyrelatedsystems,throughtechniquesfortherepresentationa
6、ndecientqueryingofprobabilisticofexactcalculationsorecientapproximationsoftheresultdatabases,andtobuildcorrespondingprototypesystems.probability.ThispaperdescribesPhDworkcarriedoutatPreviouslystudiedprobabilisticmodels,p-documentsinpar-TelecomPari
7、sTechundertheguidanceofPierreSenellart.ticular,areabasisforthework.Particularaspectsofinterestinclude:1.INTRODUCTION∙managementofthevariousformsofuncertainty;Uncertaintycomesalongwithdatageneratedbyimprecise∙ecientevaluationofqueries,exactorapproxima
8、te;automatictaskssuchasdataextractionandintegration,∙indexingandphysicalrepresentationofprobabilisticdatamining,ornaturallanguageprocessing.Ameasureofdata.thisuncertaintymaybeinducedfromthetrustworthinessWestartbypresentingacursoryreviewofrela