{"title":"Literature-Based Scientific Research Event Model","authors":"Junsheng Zhang, Changqing Yao, Yunchuan Sun","doi":"10.1109/IIKI.2016.76","DOIUrl":null,"url":null,"abstract":"Scientific and technical information analysis is important for the development of science and technology. Information analysis and decision-making pay more attention to scientific and technical research events than the content of literature, so it is necessary to find and extract scientific and technical research events from the massive scientific and technical literature for information analysis. In this paper, we study the scientific literature-oriented event representation models. Our contribution is that we propose an event representation approach for representing scientific and technical research events based on literature.","PeriodicalId":371106,"journal":{"name":"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIKI.2016.76","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Scientific and technical information analysis is important for the development of science and technology. Information analysis and decision-making pay more attention to scientific and technical research events than the content of literature, so it is necessary to find and extract scientific and technical research events from the massive scientific and technical literature for information analysis. In this paper, we study the scientific literature-oriented event representation models. Our contribution is that we propose an event representation approach for representing scientific and technical research events based on literature.