GIVA: a semantic framework for geospatial and temporal data integration, visualization, and analytics
GIVA: a semantic framework for geospatial and temporal data integration, visualization, and analytics
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GIVA：用于地理空间和时间数据集成、可视化和分析的语义框架
DOI：
10.1145/2525314.2525324
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
P. Reddy
中科院分区：
文献类型：
--
作者：
I. Cruz;Venkat R. Ganesh;Claudio Caletti;P. Reddy
各种各样的地理空间数据集的可用性需要新的机制来执行其综合分析和可视化。在这篇演示论文中，我们描述了我们的语义框架，GIVA，地理空间和时间数据集成，可视化和分析。给定地理区域和时间间隔，GIVA解决了同时访问多个数据集以及使用自动方法在底层概念和实例之间建立映射的问题。这些方法必须考虑到几个挑战，如那些来自异构格式，缺乏元数据，以及多种空间和时间数据分辨率。Web界面允许用户与地图交互并选择要集成的数据集，显示结果报告，其中比较，分析和可视化了与不同数据集有关的值。
The availability of a wide variety of geospatial datasets demands new mechanisms to perform their integrated analysis and visualization. In this demo paper, we describe our semantic framework, GIVA, for Geospatial and temporal data Integration, Visualization, and Analytics. Given a geographic region and a time interval, GIVA addresses the problem of accessing simultaneously several datasets and of establishing mappings between the underlying concepts and instances, using automatic methods. These methods must consider several challenges, such as those that arise from heterogeneous formats, lack of metadata, and multiple spatial and temporal data resolutions. A web interface lets users interact with a map and select datasets to be integrated, displaying as a result reports where values pertaining to different datasets are compared, analyzed, and visualized.