SGST: an open source semantic geostreaming toolkit

J. Lee, Yong Liu, Liang Yu
{"title":"SGST: an open source semantic geostreaming toolkit","authors":"J. Lee, Yong Liu, Liang Yu","doi":"10.1145/2064959.2064964","DOIUrl":null,"url":null,"abstract":"Geo-referenced data streams (geostreams) have created major challenges on streaming data management, query, and integration. Semantically managing geostream data has the potential to provide better data integration and reasoning. We develop an open source Semantic GeoStreaming Toolkit (SGST) that aims to provide an integrated sensor data management solution. In particular, this paper uses the Open Geospatial Consortium (OGC) GeoSPARQL recommendation and a time-annotated RDF streaming data management service. The toolkit offers geostreaming data management, fetching, and RESTful web services. We demonstrate SGST with two real-world use cases including USGS earthquake GeoRSS feeds and geo-referenced Twitter feeds for citizen sensing. Issues related to interoperability, performance, and full support of GeoSPARQL are discussed.","PeriodicalId":190366,"journal":{"name":"International Workshop on GeoStreaming","volume":"140 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Workshop on GeoStreaming","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2064959.2064964","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

Geo-referenced data streams (geostreams) have created major challenges on streaming data management, query, and integration. Semantically managing geostream data has the potential to provide better data integration and reasoning. We develop an open source Semantic GeoStreaming Toolkit (SGST) that aims to provide an integrated sensor data management solution. In particular, this paper uses the Open Geospatial Consortium (OGC) GeoSPARQL recommendation and a time-annotated RDF streaming data management service. The toolkit offers geostreaming data management, fetching, and RESTful web services. We demonstrate SGST with two real-world use cases including USGS earthquake GeoRSS feeds and geo-referenced Twitter feeds for citizen sensing. Issues related to interoperability, performance, and full support of GeoSPARQL are discussed.
SGST:一个开源语义地理流工具包
地理引用数据流(geostreams)在流数据管理、查询和集成方面带来了重大挑战。对geostream数据进行语义管理有可能提供更好的数据集成和推理。我们开发了一个开源的语义GeoStreaming工具包(SGST),旨在提供一个集成的传感器数据管理解决方案。特别地,本文使用了开放地理空间联盟(Open Geospatial Consortium, OGC)的GeoSPARQL推荐和一个带时间注释的RDF流数据管理服务。该工具包提供了地理流数据管理、获取和RESTful web服务。我们用两个真实的用例来演示SGST,包括USGS地震GeoRSS提要和用于公民感知的地理参考Twitter提要。讨论了与GeoSPARQL的互操作性、性能和全面支持相关的问题。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信