GEOSS清算所高性能搜索引擎

Kai Liu, C. Yang, Wenwen Li, Zhenlong Li, Huayi Wu, A. Rezgui, J. Xia
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引用次数: 19

摘要

全球地球观测(GEO, 2005)被设想为全球地球观测系统(GEOSS)的前奏。通用基础设施(GCI)是一个地理空间网络基础设施,通过标准化元数据(ISO 19139)促进对地球观测数据、信息、工具和服务的轻松发现、访问和利用。GEOSS结算所是推动整个GCI的引擎。它提供了针对GEO成员和参与组织的现有目录的搜索功能,突出了可能的功能范围,并为更持久的操作能力奠定了基础。乔治梅森大学智能空间计算中心(CISC)与联邦地理数据委员会(FGDC)合作研究和开发了这样一个信息交换中心,后来被GEO选中作为GEOSS信息交换中心。截至2011年3月3日,共有29个目录和110 K元数据已注册/收获到交换中心。集成了基于Lucene和GeoTools的高性能搜索引擎。所有元数据都被转换成ISO 19139格式,并在采集过程中存储在GEOSS信息交换中心数据库中。基于ISO 19139模板,Lucene可以很容易地解析每个字段中的文本以进行文本索引,GeoTools也可以很容易地获得空间边界框以进行空间索引。通过Lucene和GeoTools的集成,本地和远程用户都可以在不到2秒的时间内对成千上万的元数据进行搜索并获得响应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The GEOSS clearinghouse high performance search engine
The Global Earth Observation (GEO, 2005) was envisioned as a prelude to a Global Earth Observation System of Systems (GEOSS). The Common Infrastructure (GCI) is a geospatial cyberinfrastructure to facilitate the easy discovery, access, and utilization of Earth observation data, information, tools and services through standardized metadata (ISO 19139). The GEOSS Clearinghouse is the engine that drives the entire GCI. It provides a search capability against existing catalogues from GEO members and participating organizations, highlights the range of functionality possible, and creates a basis for a more persistent operational capability. The Center for Intelligent Spatial Computing at George Mason University (CISC) worked with the Federal Geographic Data Committee (FGDC) to research and develop such a clearinghouse and was later selected by GEO as the GEOSS clearinghouse. By Mar.3, 2011, 29 catalogs with 110 K metadata had been registered/harvested into the clearinghouse. A high performance based on Lucene and GeoTools search engine is integrated in the clearinghouse. All the metadata are converted into ISO 19139 and stored in the GEOSS clearinghouse database in the harvest process. Based on ISO 19139 template, text in each field can be easily parsed for text index with Lucene, and also spatial bounding box can be easily gotten for spatial index with GeoTools. With the integration of Lucene and GeoTools, both local and remote users can search against the hundreds of thousands of metadata to receive response in less than 2 second.
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