{"title":"科技论文的语义网络空间","authors":"M. Charnine, S. Klimenko","doi":"10.1109/CW.2017.24","DOIUrl":null,"url":null,"abstract":"In this paper we describe a cyberspace of scientific papers, in which the most cited and significant documents are represented by a large size and the distance between documents is proportional to their semantic similarity. A new measure of semantic similarity of documents is proposed that is determined by the maximum correlation between explicit and implicit connectivity of the documents. A new science contextual citation index (SCCI) that is defined by a correlation maximum with a science citation index (SCI) is proposed and implemented. SCCI can more accurately measure scientific impact, find significant documents and evaluate new articles with zero SCI. SCCI also can be used in subject areas that do not have formal references. The proposed cyberspace more accurately displays semantic similarity between significant articles.","PeriodicalId":309728,"journal":{"name":"2017 International Conference on Cyberworlds (CW)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Semantic Cyberspace of Scientific Papers\",\"authors\":\"M. Charnine, S. Klimenko\",\"doi\":\"10.1109/CW.2017.24\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we describe a cyberspace of scientific papers, in which the most cited and significant documents are represented by a large size and the distance between documents is proportional to their semantic similarity. A new measure of semantic similarity of documents is proposed that is determined by the maximum correlation between explicit and implicit connectivity of the documents. A new science contextual citation index (SCCI) that is defined by a correlation maximum with a science citation index (SCI) is proposed and implemented. SCCI can more accurately measure scientific impact, find significant documents and evaluate new articles with zero SCI. SCCI also can be used in subject areas that do not have formal references. The proposed cyberspace more accurately displays semantic similarity between significant articles.\",\"PeriodicalId\":309728,\"journal\":{\"name\":\"2017 International Conference on Cyberworlds (CW)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Cyberworlds (CW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CW.2017.24\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Cyberworlds (CW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CW.2017.24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper we describe a cyberspace of scientific papers, in which the most cited and significant documents are represented by a large size and the distance between documents is proportional to their semantic similarity. A new measure of semantic similarity of documents is proposed that is determined by the maximum correlation between explicit and implicit connectivity of the documents. A new science contextual citation index (SCCI) that is defined by a correlation maximum with a science citation index (SCI) is proposed and implemented. SCCI can more accurately measure scientific impact, find significant documents and evaluate new articles with zero SCI. SCCI also can be used in subject areas that do not have formal references. The proposed cyberspace more accurately displays semantic similarity between significant articles.
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