基于改进的逆向最大匹配算法的中文地址编码分析

基于改进的逆向最大匹配算法的中文地址编码分析

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时间:2019-01-31

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1、万方数据山东科技大学硕士学位论文摘要AbstractWiththegradualdevelopmentofoureconomyandsociety,urbanmanagementproblemshavebecomeincreasinglyprominent.Duetotherapiddevelopmentofgeographicinformationsystems,theuseofgeographicinformationsystemstosolvetheproblemsofurbanmanagement

2、hasbecomeanimportantmeansofrelevantdepartments.OneoftheimportantmeansthatChineseaddresscoding.ChineseaddresscodetypicallycontainsChineseaddressstandardization,Chinesewordsegmentation,addressmatchingandspatialpositioningstep.Fortheaddresscoding,application

3、anddevelopmentofdevelopedcountriesearlierthanOurcountry,itisrelativelymature.Becauseofaddresscodingtechnologyisnotmatureenough,especiallybecauseofthecharacteristicsofChineseaddressanddatacollectionmethods,usingastandardinconsistent,leadingtotheaddresswith

4、inthecitylimits,therearemanyhousenumber,floorandroadnamessuchasdeletions,duplications,confusion,etc.non—standardsituations.Ifyousimplyre—collectthesedatainaccordancewithspecificationinformation,theworkloadwillbeverylarge,almostimpossibletoachieve.Therefor

5、e,Chineseaddresscodingresearchandapplicationofconducthascertainchallenges.ThereisanurgentneedtoproposesuitableforOuraddressencodedChinesewordsegmentationalgorithm,andusingthealgorithmofChineseaddressstandardizationprocessforsegmentationandmatching,tocolle

6、ctfromthecityinvariousindustriestonon—GISdataintoGISdata,usetotheconcretepracticeofurbanmanagementtogo.Basedontheaboveissues,thispaperstudiedthecharacteristicsofChineseaddressproblemsandonthebasisofthecompositionofthestudiedChinesewordtechnicalcharacteris

7、tics,aswellastheexistingfourcategoriesofChinesewordsegmentationalgorithm,andanchoredproposedimprovementsreversemaximummatchingbasedonstringmatchingalgorithm,thenaccordingtothissegmentationalgorithm,asuitableChineseaddressmatchingalgorithm.Thispaperalsodes

8、cribesamethodbasedontheaboveaddressmatchesthedesignanddevelopmentofaprototypesystem,introducedseveralmodulesofthesystem,andusepartofthecityofWuhanaddressofthesystemexperimentally.Experimentalresultsshowthatthe2万方数据山

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