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An Integrated Spatial Search Engine for Maps and Aerial Photographs on a Google Maps API Platform
Journal of Map & Geography Libraries ( IF 0.3 ) Pub Date : 2017-05-04 , DOI: 10.1080/15420353.2016.1277574
Tamar Ganor 1
Affiliation  

A traditional library catalog does not do justice to maps and aerial photographs. Text can never fully describe them and maps' and aerial photographs' geographic coverage or perimeters cannot be displayed visually in the online public access catalog (OPAC), so searching based on their textual metadata without specific spatial reference data used also for display purposes is often not enough to locate relevant items. The Hebrew University of Jerusalem's (HUJI) Geography Department has developed a spatial search engine for their scanned aerial photographs collection that allows users to locate one or more aerial photographs according to the area of the Earth's surface that was photographed and their accompanying metadata. The Humanities and Social Sciences Library, which holds a large unscanned print map collection, has asked to integrate a similar map search mechanism in the Department's existing search engine, and a new website was launched in December 2015 (http://ccg.huji.ac.il/aerialphotos/) showing the aerial photographs' center points alongside the maps' rectangle perimeter. The search engine retrieves maps and aerial photographs that intersect with a user-drawn rectangle. This article discusses the characteristics of these collections, the rationale behind searching for maps and aerial photographs together, and the process of defining and building this spatial search engine. This method allows users to view which items are available in their area of interest side-by-side, on a Google Maps background map.

中文翻译:

Google Maps API平台上用于地图和航拍照片的集成空间搜索引擎

传统的图书馆目录并不能使地图和航拍照片合理化。文本永远无法完全描述它们,并且地图和航拍照片的地理覆盖范围或周长无法在联机公共访问目录(OPAC)中直观显示,因此基于文本的元数据进行搜索时,通常也没有用于显示目的的特定空间参考数据,不足以找到相关项目。耶路撒冷希伯来大学(HUJI)地理系开发了一种空间搜索引擎,用于收集其扫描的航空照片,该引擎可让用户根据被拍摄的地球表面区域及其随附的元数据定位一张或多张航空照片。人文和社会科学图书馆拥有大量未经扫描的印刷地图,已要求将类似的地图搜索机制整合到美国商务部的现有搜索引擎中,并于2015年12月启动了一个新网站(http://ccg.huji.ac.il/aerialphotos/),其中显示了航空照片的中心点和地图的矩形周长。搜索引擎检索与用户绘制的矩形相交的地图和航拍照片。本文讨论了这些集合的特征,一起搜索地图和航拍照片的原理以及定义和构建此空间搜索引擎的过程。通过此方法,用户可以在Google Maps背景地图上并排查看其感兴趣的区域中可用的项目。//ccg.huji.ac.il/aerialphotos/),显示航拍照片的中心点以及地图的矩形周长。搜索引擎检索与用户绘制的矩形相交的地图和航拍照片。本文讨论了这些集合的特征,一起搜索地图和航拍照片的原理以及定义和构建此空间搜索引擎的过程。通过此方法,用户可以在Google Maps背景地图上并排查看其感兴趣的区域中可用的项目。//ccg.huji.ac.il/aerialphotos/),显示航拍照片的中心点以及地图的矩形周长。搜索引擎检索与用户绘制的矩形相交的地图和航拍照片。本文讨论了这些集合的特征,一起搜索地图和航拍照片的原理以及定义和构建此空间搜索引擎的过程。通过此方法,用户可以在Google Maps背景地图上并排查看其感兴趣的区域中可用的项目。一起搜索地图和航拍照片的基本原理,以及定义和构建此空间搜索引擎的过程。通过此方法,用户可以在Google Maps背景地图上并排查看其感兴趣的区域中可用的项目。一起搜索地图和航拍照片的基本原理,以及定义和构建此空间搜索引擎的过程。通过此方法,用户可以在Google Maps背景地图上并排查看其感兴趣的区域中可用的项目。
更新日期:2017-05-04
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