{"title":"从科学出版商网站中提取期刊信息的框架","authors":"Umamageswari Kumaresan, K. Ramanujam","doi":"10.1109/ISCO.2016.7726937","DOIUrl":null,"url":null,"abstract":"World Wide Web is a huge repository of information and the information is presented in the disparate formats which make automated processing a cumbersome task. Search engines are used to query the WWW. Students and scholars find it difficult to determine the appropriate journals for the research article publication since performing a keyword search using search engines like Google, Yahoo etc. presents them with a list of publication site where the user need to click through a series of link to reach the journal web site and go through the details of the journals like Impact Factor, SNIP etc. manually. Suppose if a publication web site is linked to hundreds of journal web sites matching the user's topic of interest, it poses a serious problem on part of the user to manually determine the most reputed journal for the publication of his/her research article. This paper proposes a framework for extraction of Journal information in a single interaction with the system.","PeriodicalId":320699,"journal":{"name":"2016 10th International Conference on Intelligent Systems and Control (ISCO)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A framework for extraction of journal information from scientific publishers web site\",\"authors\":\"Umamageswari Kumaresan, K. Ramanujam\",\"doi\":\"10.1109/ISCO.2016.7726937\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"World Wide Web is a huge repository of information and the information is presented in the disparate formats which make automated processing a cumbersome task. Search engines are used to query the WWW. Students and scholars find it difficult to determine the appropriate journals for the research article publication since performing a keyword search using search engines like Google, Yahoo etc. presents them with a list of publication site where the user need to click through a series of link to reach the journal web site and go through the details of the journals like Impact Factor, SNIP etc. manually. Suppose if a publication web site is linked to hundreds of journal web sites matching the user's topic of interest, it poses a serious problem on part of the user to manually determine the most reputed journal for the publication of his/her research article. This paper proposes a framework for extraction of Journal information in a single interaction with the system.\",\"PeriodicalId\":320699,\"journal\":{\"name\":\"2016 10th International Conference on Intelligent Systems and Control (ISCO)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 10th International Conference on Intelligent Systems and Control (ISCO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCO.2016.7726937\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 10th International Conference on Intelligent Systems and Control (ISCO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCO.2016.7726937","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A framework for extraction of journal information from scientific publishers web site
World Wide Web is a huge repository of information and the information is presented in the disparate formats which make automated processing a cumbersome task. Search engines are used to query the WWW. Students and scholars find it difficult to determine the appropriate journals for the research article publication since performing a keyword search using search engines like Google, Yahoo etc. presents them with a list of publication site where the user need to click through a series of link to reach the journal web site and go through the details of the journals like Impact Factor, SNIP etc. manually. Suppose if a publication web site is linked to hundreds of journal web sites matching the user's topic of interest, it poses a serious problem on part of the user to manually determine the most reputed journal for the publication of his/her research article. This paper proposes a framework for extraction of Journal information in a single interaction with the system.