{"title":"分布式数字图书馆文档重叠检测系统","authors":"K. Monostori, A. Zaslavsky, H. Schmidt","doi":"10.1145/336597.336667","DOIUrl":null,"url":null,"abstract":"In this paper we introduce the MatchDetectReveal(MDR) system, which is capable of identifying overlapping and plagiarised documents. Each component of the system is briefly described. The matching-engine component uses a modified suffix tree representation, which is able to identify the exact overlapping chunks and its performance is also presented.","PeriodicalId":42447,"journal":{"name":"Digital Library Perspectives","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2000-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"50","resultStr":"{\"title\":\"Document overlap detection system for distributed digital libraries\",\"authors\":\"K. Monostori, A. Zaslavsky, H. Schmidt\",\"doi\":\"10.1145/336597.336667\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we introduce the MatchDetectReveal(MDR) system, which is capable of identifying overlapping and plagiarised documents. Each component of the system is briefly described. The matching-engine component uses a modified suffix tree representation, which is able to identify the exact overlapping chunks and its performance is also presented.\",\"PeriodicalId\":42447,\"journal\":{\"name\":\"Digital Library Perspectives\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2000-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"50\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Digital Library Perspectives\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/336597.336667\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"INFORMATION SCIENCE & LIBRARY SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digital Library Perspectives","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/336597.336667","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
Document overlap detection system for distributed digital libraries
In this paper we introduce the MatchDetectReveal(MDR) system, which is capable of identifying overlapping and plagiarised documents. Each component of the system is briefly described. The matching-engine component uses a modified suffix tree representation, which is able to identify the exact overlapping chunks and its performance is also presented.
期刊介绍：
Digital Library Perspectives (DLP) is a peer-reviewed journal concerned with digital content collections. It publishes research related to the curation and web-based delivery of digital objects collected for the advancement of scholarship, teaching and learning. And which advance the digital information environment as it relates to global knowledge, communication and world memory. The journal aims to keep readers informed about current trends, initiatives, and developments. Including those in digital libraries and digital repositories, along with their standards and technologies. The editor invites contributions on the following, as well as other related topics: Digitization, Data as information, Archives and manuscripts, Digital preservation and digital archiving, Digital cultural memory initiatives, Usability studies, K-12 and higher education uses of digital collections.
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