Making attributes from the Linked Open Data (LOD) cloud a part of Spatial Data Infrastructures (SDIS) for thematic mapping

W. Owusu-Banahene
{"title":"Making attributes from the Linked Open Data (LOD) cloud a part of Spatial Data Infrastructures (SDIS) for thematic mapping","authors":"W. Owusu-Banahene","doi":"10.4314/STECH.V7I1.3","DOIUrl":null,"url":null,"abstract":"The creation of the linked open data (LOD) cloud has enhanced the availability of interlinked open statistical data associated with geographic regions (attributes) through the Web. Spatial data infrastructures (SDIs) are widely used to share, discover, visualise and retrieve geospatial data. Geoportals are the visible parts of SDIs focused on interoperability through implementing standards such OGC web services for discovery and use of geographic data and services. In the current form OGC services cannot be directly connected to the LOD cloud. This research aimed at finding novel ways of visualising linked data in the form of thematic maps over the Internet. This paper provided answers to the question of how an OGC Web Map Service (WMS) can create thematic maps by combining attributes from the LOD cloud with geometry stored in a spatial database server (SDS). This research contributed to bridging the gap between linked data, SDI and web thematic maps and further showed how existing web mapping and OGC technologies can benefit from the Semantic Web. First, the design of a geospatial web service (representing the visible part of an SDI) that accesses attribute data from the LOD cloud referred to in this paper as SDI-LOD is presented. SDI-LOD produces web thematic maps by programmatically combining attributes from the LOD cloud with geometry in an SDS. Next, the author presented implementation results of SDI-LOD and concluded with a discussion of the implementation. This paper has motivated future work on SDI-LOD to integrating data from internet of things. Keywords: thematic map; LOD cloud; geospatial data; linked open data; geospatial web service; SDI","PeriodicalId":272760,"journal":{"name":"AFRREV STECH: An International Journal of Science and Technology","volume":"112 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"AFRREV STECH: An International Journal of Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4314/STECH.V7I1.3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

The creation of the linked open data (LOD) cloud has enhanced the availability of interlinked open statistical data associated with geographic regions (attributes) through the Web. Spatial data infrastructures (SDIs) are widely used to share, discover, visualise and retrieve geospatial data. Geoportals are the visible parts of SDIs focused on interoperability through implementing standards such OGC web services for discovery and use of geographic data and services. In the current form OGC services cannot be directly connected to the LOD cloud. This research aimed at finding novel ways of visualising linked data in the form of thematic maps over the Internet. This paper provided answers to the question of how an OGC Web Map Service (WMS) can create thematic maps by combining attributes from the LOD cloud with geometry stored in a spatial database server (SDS). This research contributed to bridging the gap between linked data, SDI and web thematic maps and further showed how existing web mapping and OGC technologies can benefit from the Semantic Web. First, the design of a geospatial web service (representing the visible part of an SDI) that accesses attribute data from the LOD cloud referred to in this paper as SDI-LOD is presented. SDI-LOD produces web thematic maps by programmatically combining attributes from the LOD cloud with geometry in an SDS. Next, the author presented implementation results of SDI-LOD and concluded with a discussion of the implementation. This paper has motivated future work on SDI-LOD to integrating data from internet of things. Keywords: thematic map; LOD cloud; geospatial data; linked open data; geospatial web service; SDI
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
使链接开放数据(LOD)云的属性成为空间数据基础设施(SDIS)的一部分,用于主题映射
链接开放数据(LOD)云的创建增强了通过Web与地理区域(属性)相关联的链接开放统计数据的可用性。空间数据基础设施(sdi)被广泛用于共享、发现、可视化和检索地理空间数据。地理门户是通过实现诸如用于发现和使用地理数据和服务的OGC web服务等标准来关注互操作性的sdi的可见部分。在目前的形式下,OGC服务不能直接连接到LOD云。这项研究的目的是寻找在互联网上以主题地图的形式可视化关联数据的新方法。本文回答了OGC Web地图服务(WMS)如何通过将LOD云的属性与存储在空间数据库服务器(SDS)中的几何图形相结合来创建主题地图的问题。这项研究有助于弥合关联数据、SDI和web专题地图之间的差距,并进一步展示了现有的web映射和OGC技术如何从语义网中受益。首先,提出了一个地理空间web服务(表示SDI的可见部分)的设计,该服务访问来自LOD云的属性数据,本文将其称为SDI-LOD。SDI-LOD通过编程方式将LOD云中的属性与SDS中的几何图形组合在一起,从而生成web主题地图。接下来,作者介绍了SDI-LOD的实施结果,并对实施进行了讨论。本文对SDI-LOD的未来工作起到了推动作用,旨在整合来自物联网的数据。关键词:专题地图;LOD云;地理空间数据;链接开放数据;地理空间网络服务;SDI
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Teachers’ perception and background in chemistry: Implications for basic science education in primary schools Graduate students’ preferences in technology usage in student-faculty interactions at the University of Cape Coast, Ghana Ghanaian senior high school science students’ conceptions about change of state of matter Hormonal contraceptive use and women’s labour supply: Qualitative evidence from Kayonza District In Rwanda Cultural factors and traditional practices of the people In Delta State about HIV/AIDS pandemic
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1