社會(huì)化互聯(lián)網(wǎng)的內(nèi)容和結(jié)構(gòu)挖掘.pdf

1、上海交通大學(xué)碩士學(xué)位論文社會(huì)化互聯(lián)網(wǎng)的內(nèi)容和結(jié)構(gòu)挖掘姓名：鄭皓申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：計(jì)算機(jī)應(yīng)用技術(shù)指導(dǎo)教師：俞勇20081201=???MiningContentStructureofSocialWebABSTRACTWiththeriseofWeb2.0memewebservicestakeadvantageofcollectiveintelligencebythepowerofWWWwhichisrecognizedasprofo

2、undchanges.Thusresearchesonsocialinfmationseemtobememeinptant.TheresearchobjectofmymasterthesisisthesocialcontentstructureunderWeb2.0especiallyfocusingontwopopularapplicationofWeb2.0:SocialAnnotationSocialwk.SocialAnnota

3、tioniscontentgeneratedbyuserssocialwkisrelationshipsbetweenusers.SocialAnnotationisanewwayofinfmationganizationwhichmakeinfmationsharingeasierontheweb.Howeversocialannotationstillfacessomeproblemwehopetofurtherimprovethe

4、powerofsocialannotation.Weextensivelydiscussedvariousthoughtsonsocialannotationtheacteristicsofdifferentsocialannotationsystemsreviewedtheprosconsofsocialannotation.Wetriedtoenrichfmalthesauruswithsocialannotationbyautom

5、atedmethods.Furthermeweproposedtoenableuserstocollabativelyconstructhierarchiesbysocialmethods.Experimentsshowedtherobustnesseffectivenessofourtwomethods.OnlineSocialwkisinterpersonalrelationshiponthewebwhichmakewebcommu

6、nicationmeefficient.Butsomebasicacteristicsofonlinesocialwkarestillfarfromwellstudied.Wetrytostudytheseacteristicstoanalyzethestructureofsocialwk.Byanalysisoftwopopularsocialwksweshowedthepropertiesofsocialwksquantitivel