{"title":"从学术开放存取数字图书馆看计算机科学的最新研究趋势","authors":"N. Viet, A. Kravets","doi":"10.1109/SMART46866.2019.9117215","DOIUrl":null,"url":null,"abstract":"The wider utilization of information and web technologies, database technologies, development of internet infrastructure has led to the evolution of digital libraries. In particular, digital libraries serve enormous number of various users and play an essential role as repositories and source of investigation and intelligence. With the emergence of IoT (Internet of Things) and different academic open-access digital libraries, the automatic extraction of advantageous knowledge from text data has been more and more a significant subject of research in data mining. In this paper, we perform web scraping system, statistical analyses from the arXiv repository and discuss the results of analyzing recent research trends in this academic open-access digital library.","PeriodicalId":328124,"journal":{"name":"2019 8th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Analyzing Recent Research Trends of Computer Science from Academic Open-access Digital Library\",\"authors\":\"N. Viet, A. Kravets\",\"doi\":\"10.1109/SMART46866.2019.9117215\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The wider utilization of information and web technologies, database technologies, development of internet infrastructure has led to the evolution of digital libraries. In particular, digital libraries serve enormous number of various users and play an essential role as repositories and source of investigation and intelligence. With the emergence of IoT (Internet of Things) and different academic open-access digital libraries, the automatic extraction of advantageous knowledge from text data has been more and more a significant subject of research in data mining. In this paper, we perform web scraping system, statistical analyses from the arXiv repository and discuss the results of analyzing recent research trends in this academic open-access digital library.\",\"PeriodicalId\":328124,\"journal\":{\"name\":\"2019 8th International Conference System Modeling and Advancement in Research Trends (SMART)\",\"volume\":\"53 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 8th International Conference System Modeling and Advancement in Research Trends (SMART)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SMART46866.2019.9117215\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 8th International Conference System Modeling and Advancement in Research Trends (SMART)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SMART46866.2019.9117215","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analyzing Recent Research Trends of Computer Science from Academic Open-access Digital Library
The wider utilization of information and web technologies, database technologies, development of internet infrastructure has led to the evolution of digital libraries. In particular, digital libraries serve enormous number of various users and play an essential role as repositories and source of investigation and intelligence. With the emergence of IoT (Internet of Things) and different academic open-access digital libraries, the automatic extraction of advantageous knowledge from text data has been more and more a significant subject of research in data mining. In this paper, we perform web scraping system, statistical analyses from the arXiv repository and discuss the results of analyzing recent research trends in this academic open-access digital library.