Southampton and The Open University. Preface(14)

formationretrieval,informationintegrationandthedatabasecommunity.They

areusuallysimplealgorithmse.g.Needleman-WunchDistance[9],Smith-Waterman-GotohSimilarity[6],Monge-ElkanSimilarity[8]andsoon(afulllistanddescrip-

tionsofeachsimilaritymethodisbeyondthescopeofthispaperandshouldbe

soughtelsewhere2).

SimilarityMetricswithintheSimMetriclibrarycantakeasinputtwotextual

stringsandreturnasimilaritymeasurenormalisedtoa oatrangingbetween

0.0and1.0,0.0beingentirelydi erent,1.0beingidentical.

StringMetricshavebeenusedbeforeincombiningdata,[3];butnever,(atthe

timeofwritingtothereadersknowledge),inanextensiblearchitectureforthe

speci cpurposesofIntegrationfortheSemanticWeb,i.e.takingintoaccount

theprovenanceandlinkingofSemanticdata.TheArmadillotoolitselfisnow

detailed,beforeaspeci cusecase.

4Armadillo

ArmadilloisatooldevelopedwithintheUniversityofShe eld;theinitialversion

wasproposedbyAlexieiDingli[5],allsubsequentversionshavebeendeveloped

bythepaper’sauthor.

4.1WhatisArmadillo?

Informationcanbeavailableindi erentformatsontheWeb:indocuments,

inrepositories(e.g.databasesordigitallibraries),fromagents,webservices,

webbasedAPI’s,rmationcanbeextractedfromdi erentsourceswith

1/projects/simmetrics/

2http://www.dcs.shef.ac.uk/ sam/stringmetrics.html

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