{"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}
引用次数: 0
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