首页> 外文期刊>Earth Science Informatics >Searching for metadata using knowledge bases and topic maps in Spatial Data Infrastructures
【24h】

Searching for metadata using knowledge bases and topic maps in Spatial Data Infrastructures

机译:在空间数据基础架构中使用知识库和主题图搜索元数据

获取原文
获取原文并翻译 | 示例

摘要

Concern for environmental issues has become a reality in all sectors of society, mainly among researchers and professionals who work directly with environmental status. In this context, several studies have been undertaken on sustainable development of the Brazilian Amazon, generating a large amount of data and information. Environmental area characterization involves the knowledge about their natural, economic and social resources, as well as understanding the interaction and correlation among them. Such interdisciplinary character requires new solutions for knowledge representation. This study proposes to minimize metadata recovery problems in Spatial Data Infrastructures by using Topic Maps and Thesaurus. This approach applied to an interface aims to allow users to visually recover information from metadata catalogs.
机译:对环境问题的关注已在社会各阶层中普遍存在,主要是在直接与环境状况相关的研究人员和专业人员中。在这种情况下,已经对巴西亚马逊的可持续发展进行了一些研究,产生了大量的数据和信息。环境区的表征包括有关其自然,经济和社会资源的知识,以及了解它们之间的相互作用和相关性。这种跨学科的特征需要新的知识表示方法。本研究建议通过使用主题图和同义词库来最大程度地减少空间数据基础结构中的元数据恢复问题。应用于界面的此方法旨在允许用户直观地从元数据目录中恢复信息。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号