{"title":"A Web 2.0 Framework for Real-time Location Intelligence","authors":"K. Rivard","doi":"10.1109/THS.2007.370036","DOIUrl":null,"url":null,"abstract":"With increasing deployments of global positioning system (GPS) devices, radio frequency identification (RFID) tags, and other location-aware devices, it is now possible to capture time-varying object information. In addition, existing systems such as enterprise resource planning (ERP) systems emit ancillary object metadata (e.g., inventory levels in a warehouse). The challenge is how to leverage these information assets for demanding field operations scenarios such as crisis management, given the size and real-time nature of the data. To address the challenge, we have built a Web 2.0 framework for real-time spatial intelligence and collaboration. Our framework includes an extensible architecture for ingesting and combining spatial data across multiple formats; a fusion server for merging spatial and bespoke business data; support for spatial transformations tied to configurable business rules; and a publishing engine that pushes the combined information out for consumption in a visual, collaborative presentation layer running in standard Web browsers and on mobile devices. The result is an easily deployable system with broad reach to the field through a visual, interactive interface presenting timely, meaningful information.","PeriodicalId":428684,"journal":{"name":"2007 IEEE Conference on Technologies for Homeland Security","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE Conference on Technologies for Homeland Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/THS.2007.370036","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
With increasing deployments of global positioning system (GPS) devices, radio frequency identification (RFID) tags, and other location-aware devices, it is now possible to capture time-varying object information. In addition, existing systems such as enterprise resource planning (ERP) systems emit ancillary object metadata (e.g., inventory levels in a warehouse). The challenge is how to leverage these information assets for demanding field operations scenarios such as crisis management, given the size and real-time nature of the data. To address the challenge, we have built a Web 2.0 framework for real-time spatial intelligence and collaboration. Our framework includes an extensible architecture for ingesting and combining spatial data across multiple formats; a fusion server for merging spatial and bespoke business data; support for spatial transformations tied to configurable business rules; and a publishing engine that pushes the combined information out for consumption in a visual, collaborative presentation layer running in standard Web browsers and on mobile devices. The result is an easily deployable system with broad reach to the field through a visual, interactive interface presenting timely, meaningful information.