基于web的交互式实时数据可视化与分析系统

Tao Yu, Qiming Chen, Qinghu Li, R. Liu, Weihong Wang, W. Liu
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引用次数: 5

摘要

mashup和面向服务的体系结构(Service Oriented Architecture, SOA)的融合使企业能够通过集成内部和外部源的信息来交付复合应用程序和情景应用程序。在本文中,我们提出了一种从mashup中汲取思想并将其扩展到在互联网上提供时空数据集的实时交互式可视化分析应用程序的方法。本文讨论了该方法的四个方面:基于连续查询的时态数据mashup、用于提供个性化服务的模板驱动和实体化mashup视图、使用Web服务通知(WSN)的实时数据传输、用于可视化合成、表示和分析的地理可视化mashup。建立了支持洪水预报、淹没面积估算等水文信息观测与分析的原型系统。我们的初步发现将有助于其他人创建用于实时可视化和业务逻辑分析的商业智能(BI)混搭。
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A System for Web-Based Interactive Real-Time Data Visualization and Analysis
The convergence of mashup and Service Oriented Architecture (SOA) enables the enterprise to deliver composite and situational applications by integrating information across internal and external sources. In this paper, we propose an approach that takes ideas from mashup and extend it to deliver real-time interactive visual analysis application on spatial-temporal datasets over the Internet. Four aspects of the approach are discussed: temporal data mashup based on continuous queries, template driven and materialized mashup view for providing personalized services, real-time data transmission using Web Service Notification (WSN), geo-visualization mashup for visual synthesis, presentation and analysis. A prototype system has been built up for supporting hydrologic information observation and analysis, such as flood prediction, inundated area estimation, etc. Our preliminary findings will be beneficial to others to create Business Intelligence (BI) mashups for real-time visualization and business logic analysis.
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