{"title":"使用I-Scover的关联数据进行研究现场分析","authors":"T. Wakahara, Toshitaka Maki, Kazuki Takahashi","doi":"10.1109/GCCE.2016.7800504","DOIUrl":null,"url":null,"abstract":"This paper presents the research field analysis method using the Linked Data of I-Scover [1]. I-Scover is the article retrieval system of the Institute of Electronics, Information and Communication Engineers (IEICE). This system manages the article metadata by Linked Data format. The research field analysis of the articles is important, and the effective article classification is desired for faceted navigation. The simulation results of the proposed analysis method show the good performance and the validity of this method is confirmed.","PeriodicalId":416104,"journal":{"name":"2016 IEEE 5th Global Conference on Consumer Electronics","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research field analysis using linked data of I-Scover\",\"authors\":\"T. Wakahara, Toshitaka Maki, Kazuki Takahashi\",\"doi\":\"10.1109/GCCE.2016.7800504\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the research field analysis method using the Linked Data of I-Scover [1]. I-Scover is the article retrieval system of the Institute of Electronics, Information and Communication Engineers (IEICE). This system manages the article metadata by Linked Data format. The research field analysis of the articles is important, and the effective article classification is desired for faceted navigation. The simulation results of the proposed analysis method show the good performance and the validity of this method is confirmed.\",\"PeriodicalId\":416104,\"journal\":{\"name\":\"2016 IEEE 5th Global Conference on Consumer Electronics\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 5th Global Conference on Consumer Electronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GCCE.2016.7800504\",\"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 IEEE 5th Global Conference on Consumer Electronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCCE.2016.7800504","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research field analysis using linked data of I-Scover
This paper presents the research field analysis method using the Linked Data of I-Scover [1]. I-Scover is the article retrieval system of the Institute of Electronics, Information and Communication Engineers (IEICE). This system manages the article metadata by Linked Data format. The research field analysis of the articles is important, and the effective article classification is desired for faceted navigation. The simulation results of the proposed analysis method show the good performance and the validity of this method is confirmed.
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