O. Kolesnichenko, Gennady Smorodin, D. Yakovleva, L. Mazelis, O. Zhurenkov, Yuriy Kolesnichenko
{"title":"Text Big Data Analytics: Exploring API opportunity: Internet as global storage — how to get the situation awareness from dark data","authors":"O. Kolesnichenko, Gennady Smorodin, D. Yakovleva, L. Mazelis, O. Zhurenkov, Yuriy Kolesnichenko","doi":"10.1109/ICAICT.2016.7991649","DOIUrl":null,"url":null,"abstract":"Text Big Data Analytics Study «Third Wave» is described. Morphological matrix of several Keywords Phrases was collected from Internet's open textual resources using API. The results are analyzed from the point of view that global Internet's audience forms «people-to-IT» system through that we can study the three levels of behaviour of Global society. Level 1 — countries' activity on the Internet. Level 2 — technological evolution in countries. Level 3 — countries' reaction to destructive stress factors. Cluster analysis was used for investigation of Level 1. Simon Wardley's Value Chain Map was used for investigation of Level 2. And diagrams with percentage ratio of different sets of Keywords Phrases were used for investigation of Level 3. Article is focused on regions of Eurasia and North Africa. The Study findings are following: among post-Soviet countries Russia shows the highest activity on Internet and has advantages of economic development, as well as Georgia; Azerbaijan among some countries from Eurasia and North Africa shows the lowest risk to become fragile country under Global warming.","PeriodicalId":446472,"journal":{"name":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAICT.2016.7991649","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Text Big Data Analytics Study «Third Wave» is described. Morphological matrix of several Keywords Phrases was collected from Internet's open textual resources using API. The results are analyzed from the point of view that global Internet's audience forms «people-to-IT» system through that we can study the three levels of behaviour of Global society. Level 1 — countries' activity on the Internet. Level 2 — technological evolution in countries. Level 3 — countries' reaction to destructive stress factors. Cluster analysis was used for investigation of Level 1. Simon Wardley's Value Chain Map was used for investigation of Level 2. And diagrams with percentage ratio of different sets of Keywords Phrases were used for investigation of Level 3. Article is focused on regions of Eurasia and North Africa. The Study findings are following: among post-Soviet countries Russia shows the highest activity on Internet and has advantages of economic development, as well as Georgia; Azerbaijan among some countries from Eurasia and North Africa shows the lowest risk to become fragile country under Global warming.