{"title":"一个自动权限控制的示例","authors":"A. Knyazeva, O. Kolobov, I. Turchanovsky","doi":"10.1145/2910896.2925458","DOIUrl":null,"url":null,"abstract":"The automatic authority control problem is considered. One possible solution is to use the record linkage approach for authority and bibliographic records. The main aim of this paper is to figure out which concepts and methods are most useful for dealing with our data. An approach based on machine learning method (classification) is considered. A comparative study of different distances and feature sets is made. A study carried out on data of several Russian libraries. The data we deal with are in RUSMARC format which is a variant of UNIMARC popular in Russia.","PeriodicalId":109613,"journal":{"name":"2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An example of automatic authority control\",\"authors\":\"A. Knyazeva, O. Kolobov, I. Turchanovsky\",\"doi\":\"10.1145/2910896.2925458\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The automatic authority control problem is considered. One possible solution is to use the record linkage approach for authority and bibliographic records. The main aim of this paper is to figure out which concepts and methods are most useful for dealing with our data. An approach based on machine learning method (classification) is considered. A comparative study of different distances and feature sets is made. A study carried out on data of several Russian libraries. The data we deal with are in RUSMARC format which is a variant of UNIMARC popular in Russia.\",\"PeriodicalId\":109613,\"journal\":{\"name\":\"2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL)\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2910896.2925458\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2910896.2925458","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The automatic authority control problem is considered. One possible solution is to use the record linkage approach for authority and bibliographic records. The main aim of this paper is to figure out which concepts and methods are most useful for dealing with our data. An approach based on machine learning method (classification) is considered. A comparative study of different distances and feature sets is made. A study carried out on data of several Russian libraries. The data we deal with are in RUSMARC format which is a variant of UNIMARC popular in Russia.
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