{"title":"智能查询和自适应数据的计算智能支持","authors":"T. Martin, B. Azvine, Yun Shen","doi":"10.1109/CISDA.2007.368138","DOIUrl":null,"url":null,"abstract":"The UK initiative in \"network enabled capability\" (NEC) can be loosely summarised as \"right information, right place, right time - and not too much\". It is closely related to the US concept of \"network-centric operations\". A core requirement for NEC is \"active intelligence\" where information streams from multiple sources can be dynamically blended and fused into the relevant form for a decision maker. We have identified \"smart queries\" and \"adaptive data\" (SQuAD) as the key components of active intelligence, and these form the basis of a current research programme. In this paper we outline three existing research streams that can contribute to the SQuAD project by using soft computing and computational intelligence to merge semi-structured data and taxonomic categories","PeriodicalId":403553,"journal":{"name":"2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Computational Intelligence Support for Smart Queries and Adaptive Data\",\"authors\":\"T. Martin, B. Azvine, Yun Shen\",\"doi\":\"10.1109/CISDA.2007.368138\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The UK initiative in \\\"network enabled capability\\\" (NEC) can be loosely summarised as \\\"right information, right place, right time - and not too much\\\". It is closely related to the US concept of \\\"network-centric operations\\\". A core requirement for NEC is \\\"active intelligence\\\" where information streams from multiple sources can be dynamically blended and fused into the relevant form for a decision maker. We have identified \\\"smart queries\\\" and \\\"adaptive data\\\" (SQuAD) as the key components of active intelligence, and these form the basis of a current research programme. In this paper we outline three existing research streams that can contribute to the SQuAD project by using soft computing and computational intelligence to merge semi-structured data and taxonomic categories\",\"PeriodicalId\":403553,\"journal\":{\"name\":\"2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CISDA.2007.368138\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISDA.2007.368138","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Computational Intelligence Support for Smart Queries and Adaptive Data
The UK initiative in "network enabled capability" (NEC) can be loosely summarised as "right information, right place, right time - and not too much". It is closely related to the US concept of "network-centric operations". A core requirement for NEC is "active intelligence" where information streams from multiple sources can be dynamically blended and fused into the relevant form for a decision maker. We have identified "smart queries" and "adaptive data" (SQuAD) as the key components of active intelligence, and these form the basis of a current research programme. In this paper we outline three existing research streams that can contribute to the SQuAD project by using soft computing and computational intelligence to merge semi-structured data and taxonomic categories