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1、ConferenceICL2010September15-17,2010Hasselt,BelgiumJustintimeandrelevantknowledgethankstorecommendersystemsandSemanticWeb.Plessers,Ben(1);VanHyfte,Dirk(2);Schreurs,Jeanne(1)12Organization(s):HasseltUniversity,Belgium;i.Know,BelgiumKeywords:E-learning,Recommenders
2、ystem,SemanticWeb,LinkedDataAbstractRecommendersystemsaresoftwaresystemsthatsupplyuserswithinformationinordertohelpthemmakedecisions,withoutusershavetosearchforitthemselves.Arecommendersysteminane-learningcontextisasoftwareagentthattriesto”intelligently”recommend
3、actionstoalearnerbasedontheactionsofpreviouslearners.Theserecommendationscouldbeon-lineactivitiessuchasdoinganexercise,readingpostedmessagesonaconferencingsystem,orrunninganon-linesimulation,orcouldbesimplyawebresource.Thispaperwillmakeadescriptionforarecommender
4、systemthatwillmakeuseoftheSemanticWebandLinkedData.TheproposedrecommendersystemwillhaveaTextMiningModuleandaRecommenderModuletomakerelevant,justintimesuggestionstotheuser.1.IntroductionInaperiodoftimewhereknowledgemanagementisaveryimportantissueandtheproblemofinf
5、ormationoverloadisgrowing,thereisaneedforsystemsthatcanhelptoobtaininformation,knowledgeanddata.Nowadays,formanyorganisations,theknowledgeoftheirpeopleisthemostimportantasset.TheInternethasmadeinformationabundant,howeverthereliability,usefulness,andtimelinessofth
6、einformationisdifficulttoverify.Theinformationandknowledgenecessaryfordecision-makingneedstobeavailableandaccessibleinaneasywayfortherightperson,atthetimetheinformationorknowledgeisneeded.Thisiswhererecommendersystemscomein.Nowadays,itisveryimportantthatknowledge
7、canbetransferredinafastandefficientwayfromthenextgenerationcolleagues,orstudents.Moderntechnologies,computersandmoreimportantly,theInternet,areandwillbeveryimportantforbothcompaniesandeducationalinstitutionstokeepupwithaworldthatischanginginafastpace.Theuseofthes
8、etechnologiesmakesitpossibletoadapt,update,saveandshareknowledgefasterandfaster.E-learninghasbecomemoreandmoredependentoftheInternet.Itisalsoclearthate-learnin
