{"title":"基于语义匹配的高级抄袭检查工具的概念模型","authors":"A. Sarkar, U. Marjit, U. Biswas","doi":"10.1109/ICBIM.2014.6970943","DOIUrl":null,"url":null,"abstract":"Nowadays with the rapid use of Internet makes it easy to collect information as a matter of mouse click over the Web. With this enormous opportunity it becomes easy to make copy and use of someone else's works or ideas without giving the proper credit to the original owner. Normally this kind of practice is known as plagiarism. Plagiarism has already become a serious issue for the different publishing house of journals or the conference organizers to prevent the authors to plagiarize their work. Considering this issue several tools have been developed to check for plagiarism mostly based on syntactical or word based matching. In this paper a new conceptual model is proposed to generate a decent tool to identify the plagiarized content based on syntactical and semantic matching.","PeriodicalId":6549,"journal":{"name":"2014 2nd International Conference on Business and Information Management (ICBIM)","volume":"8 1","pages":"104-108"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"A conceptual model to develop an advanced plagiarism checking tool based on semantic matching\",\"authors\":\"A. Sarkar, U. Marjit, U. Biswas\",\"doi\":\"10.1109/ICBIM.2014.6970943\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nowadays with the rapid use of Internet makes it easy to collect information as a matter of mouse click over the Web. With this enormous opportunity it becomes easy to make copy and use of someone else's works or ideas without giving the proper credit to the original owner. Normally this kind of practice is known as plagiarism. Plagiarism has already become a serious issue for the different publishing house of journals or the conference organizers to prevent the authors to plagiarize their work. Considering this issue several tools have been developed to check for plagiarism mostly based on syntactical or word based matching. In this paper a new conceptual model is proposed to generate a decent tool to identify the plagiarized content based on syntactical and semantic matching.\",\"PeriodicalId\":6549,\"journal\":{\"name\":\"2014 2nd International Conference on Business and Information Management (ICBIM)\",\"volume\":\"8 1\",\"pages\":\"104-108\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 2nd International Conference on Business and Information Management (ICBIM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICBIM.2014.6970943\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 2nd International Conference on Business and Information Management (ICBIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICBIM.2014.6970943","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A conceptual model to develop an advanced plagiarism checking tool based on semantic matching
Nowadays with the rapid use of Internet makes it easy to collect information as a matter of mouse click over the Web. With this enormous opportunity it becomes easy to make copy and use of someone else's works or ideas without giving the proper credit to the original owner. Normally this kind of practice is known as plagiarism. Plagiarism has already become a serious issue for the different publishing house of journals or the conference organizers to prevent the authors to plagiarize their work. Considering this issue several tools have been developed to check for plagiarism mostly based on syntactical or word based matching. In this paper a new conceptual model is proposed to generate a decent tool to identify the plagiarized content based on syntactical and semantic matching.