Southampton and The Open University. Preface(18)

Advanced Knowledge Technologies is recognised as a leading research programme conducted at some of the foremost informatics departments in Britain. It is also a training ground for a new generation of researchers. To highlight the work of these students, a

ThisallowsMLtousetheinformationofexisting ndstosuggestmore

potentialentitieswhichareinvestigatedfurtherusingevidencetoratethefound

extractions,thusimprovingprecision.

Trustedsources-usingArmadillo’sloopingmethods,detailedinsection4.2,it

quicklybecomesapparentthatthebetterstructuredormorereliableinformation

sources,forexamplehtmllistsonaregularsiteandexternalsourcessuchas

citeseer3andunitrier4areidenti edasoraclestoquicklytestnewentities.This

genericevidencebasedapproachcanofcoursebeextendedtoanydomainwhere

redundantevidencecanbefound.

5ConclusionandFutureWork

Thispaperdetailsarmadillo’sextensibletechniqueforbuildingevidenceforIn-

formationIntegrationfortheSemanticWebusingsimplesimilaritymeasures.

ThismethodisactivelyusedinArmadillotoclean,normaliseandevendisam-

biguatedatagatheredfromvarioussourcesviaMLmethodologies.

FutureworkwilladdadditionalmetricsandmethodologiestotheIntegration

processalsoinvestigatinglearningtechniquestoprioritisethemethodsapplied

tothosebestsuitedtoadomain.

Acknowledgements

ThisworkwascarriedoutwithintheAKTproject(),

sponsoredbytheUKEngineeringandPhysicalSciencesResearchCouncil(grant

GR/N15764/01),andtheDot.Komproject,sponsoredbytheEUISTasppart

ofFrameworkV(grantIST-2001-34038).

References

1.F.Ciravegna,AA.Dingli,D.Petrelli,er-systemcooperationin

documentannotationbasedoninformationextraction.InProceedingsofthe13th

InternationalConferenceonKnowledgeEngineeringandKnowledgeManagement,

EKAW02.SpringerVerlag,2002.

2.F.CiravegnaandY.Wilks.Designingadaptiveinformationextractionforthe

semanticwebinamilcare.InS.HandschuhandS.Staab,editors,Annotationfor

theSemanticWeb,FrontiersinArti cialIntelligenceandApplications.IOSPress,

2003.

3.W.Cohen,P.Ravikumar,andS.Fienberg.Acomparisonofstringmetricsfor

matchingnamesandrecords.InKDDWorkshoponDataCleaningandObject

Consolidation,2003.

3http://citeseer.ist.psu.edu/

4rmatik.uni-trier.de/ ley/db/

搜索“diyifanwen.net”或“第一范文网”即可找到本站免费阅读全部范文。收藏本站方便下次阅读，第一范文网，提供最新人文社科Southampton and The Open University. Preface(18)全文阅读和word下载服务。