{"title":"大数据中的好、丑、坏情境意识:一种社会预测的认知架构","authors":"E. D’Avanzo, G. Pilato","doi":"10.4018/IJKSR.2016040102","DOIUrl":null,"url":null,"abstract":"Situation awareness the Good is a challenging approach aiming at realizing artifacts being aware of what happens in the environment around them. Big data the Ugly includes datasets whose magnitude is far away of being processed by traditional techniques. The Bad is the authors' framework that, even knowing about the ideal situation, represented by the Good, they realize the presence of the Ugly and face a decision, even knowing that it will not be the best but it is still important in order to mine nuggets from the cache of gold. As in every successful story, the authors' mission is to make the 'Bad' increasingly 'Good'. To make their artifact increasingly aware of, it is needed the domain expert's contribution, as argued by the methodology analysis to which there is mention.","PeriodicalId":296518,"journal":{"name":"Int. J. Knowl. Soc. Res.","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"The Good, the Ugly and the Bad Situation Awareness in the Big Data: A Cognitive Architecture for Social Forecasting\",\"authors\":\"E. D’Avanzo, G. Pilato\",\"doi\":\"10.4018/IJKSR.2016040102\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Situation awareness the Good is a challenging approach aiming at realizing artifacts being aware of what happens in the environment around them. Big data the Ugly includes datasets whose magnitude is far away of being processed by traditional techniques. The Bad is the authors' framework that, even knowing about the ideal situation, represented by the Good, they realize the presence of the Ugly and face a decision, even knowing that it will not be the best but it is still important in order to mine nuggets from the cache of gold. As in every successful story, the authors' mission is to make the 'Bad' increasingly 'Good'. To make their artifact increasingly aware of, it is needed the domain expert's contribution, as argued by the methodology analysis to which there is mention.\",\"PeriodicalId\":296518,\"journal\":{\"name\":\"Int. J. Knowl. Soc. Res.\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. Knowl. Soc. Res.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/IJKSR.2016040102\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Knowl. Soc. Res.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/IJKSR.2016040102","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Good, the Ugly and the Bad Situation Awareness in the Big Data: A Cognitive Architecture for Social Forecasting
Situation awareness the Good is a challenging approach aiming at realizing artifacts being aware of what happens in the environment around them. Big data the Ugly includes datasets whose magnitude is far away of being processed by traditional techniques. The Bad is the authors' framework that, even knowing about the ideal situation, represented by the Good, they realize the presence of the Ugly and face a decision, even knowing that it will not be the best but it is still important in order to mine nuggets from the cache of gold. As in every successful story, the authors' mission is to make the 'Bad' increasingly 'Good'. To make their artifact increasingly aware of, it is needed the domain expert's contribution, as argued by the methodology analysis to which there is mention.