{"title":"数字文件的复制检测系统","authors":"D. M. Campbell, Wendy R. Chen, Randy D. Smith","doi":"10.1109/ADL.2000.848372","DOIUrl":null,"url":null,"abstract":"Partial or total duplication of document content is common to large digital libraries. We present a copy detection system to automate the detection of application in digital documents. The system we present is sentence-based and makes three contributions: it proposes an intuitive definition of similarity between documents; it produces the distribution of overlap that exists between overlapping documents; it is resistant to inaccuracy due to large variations in document size. We report the results of several experiments that illustrate the behavior and functionality of the system.","PeriodicalId":426762,"journal":{"name":"Proceedings IEEE Advances in Digital Libraries 2000","volume":"106 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"28","resultStr":"{\"title\":\"Copy detection systems for digital documents\",\"authors\":\"D. M. Campbell, Wendy R. Chen, Randy D. Smith\",\"doi\":\"10.1109/ADL.2000.848372\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Partial or total duplication of document content is common to large digital libraries. We present a copy detection system to automate the detection of application in digital documents. The system we present is sentence-based and makes three contributions: it proposes an intuitive definition of similarity between documents; it produces the distribution of overlap that exists between overlapping documents; it is resistant to inaccuracy due to large variations in document size. We report the results of several experiments that illustrate the behavior and functionality of the system.\",\"PeriodicalId\":426762,\"journal\":{\"name\":\"Proceedings IEEE Advances in Digital Libraries 2000\",\"volume\":\"106 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"28\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings IEEE Advances in Digital Libraries 2000\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ADL.2000.848372\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings IEEE Advances in Digital Libraries 2000","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ADL.2000.848372","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Partial or total duplication of document content is common to large digital libraries. We present a copy detection system to automate the detection of application in digital documents. The system we present is sentence-based and makes three contributions: it proposes an intuitive definition of similarity between documents; it produces the distribution of overlap that exists between overlapping documents; it is resistant to inaccuracy due to large variations in document size. We report the results of several experiments that illustrate the behavior and functionality of the system.
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