对微观和宏观位置感知服务的展望

Abdeltawab M. Hendawi, Mohamed E. Khalefa, Harry Liu, Mohamed H. Ali, J. Stankovic
{"title":"对微观和宏观位置感知服务的展望","authors":"Abdeltawab M. Hendawi, Mohamed E. Khalefa, Harry Liu, Mohamed H. Ali, J. Stankovic","doi":"10.1145/2996913.2996977","DOIUrl":null,"url":null,"abstract":"A few decades ago, the Internet was created. Since then, searching for information and services has increased exponentially. With the introduction of GPS-enabled devices, a special type of search appeared offering location-aware services. These services customize search results based on users' location. This includes, but not limited to, (1) service finding, e.g., \"find the nearest pizza restaurant\", (2) routing, e.g., \"obtain the shortest path from a user's home to the airport\", (3) transportation, e.g., \"what are the bus links to get a user from downtown to the mall\", and (4) monitoring, e.g., \"alert a parent if their child school-bus deviates from its regular route\". Though new hardware and software technologies such as smart watches, voice search, and big-data platforms have been introduced and widely used, each single type of the above services has benefited very little from these technologies. On the local level of each service (the micro level), a full-fledged view is still missing. On the global level of all service types (the macro level), all Location-aware services are still acting as isolated islands and a global optimized service is not available. This paper presents our vision of how to provide an integrated macro location-aware service that acts harmoniously, and how each micro service can be further improved by better incorporation of novel technologies. We also overview the key challenges associated with these suggested improvements. Then, we highlight the potential value-added by the application of our vision.","PeriodicalId":20525,"journal":{"name":"Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"A vision for micro and macro location aware services\",\"authors\":\"Abdeltawab M. Hendawi, Mohamed E. Khalefa, Harry Liu, Mohamed H. Ali, J. Stankovic\",\"doi\":\"10.1145/2996913.2996977\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A few decades ago, the Internet was created. Since then, searching for information and services has increased exponentially. With the introduction of GPS-enabled devices, a special type of search appeared offering location-aware services. These services customize search results based on users' location. This includes, but not limited to, (1) service finding, e.g., \\\"find the nearest pizza restaurant\\\", (2) routing, e.g., \\\"obtain the shortest path from a user's home to the airport\\\", (3) transportation, e.g., \\\"what are the bus links to get a user from downtown to the mall\\\", and (4) monitoring, e.g., \\\"alert a parent if their child school-bus deviates from its regular route\\\". Though new hardware and software technologies such as smart watches, voice search, and big-data platforms have been introduced and widely used, each single type of the above services has benefited very little from these technologies. On the local level of each service (the micro level), a full-fledged view is still missing. On the global level of all service types (the macro level), all Location-aware services are still acting as isolated islands and a global optimized service is not available. This paper presents our vision of how to provide an integrated macro location-aware service that acts harmoniously, and how each micro service can be further improved by better incorporation of novel technologies. We also overview the key challenges associated with these suggested improvements. Then, we highlight the potential value-added by the application of our vision.\",\"PeriodicalId\":20525,\"journal\":{\"name\":\"Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2996913.2996977\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2996913.2996977","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

摘要

几十年前,互联网诞生了。从那时起,对信息和服务的搜索呈指数级增长。随着支持gps的设备的引入,一种特殊类型的搜索出现了,提供位置感知服务。这些服务根据用户的位置定制搜索结果。这包括但不限于:(1)服务查找,例如,“找到最近的披萨店”;(2)路由,例如,“获得从用户家到机场的最短路径”;(3)交通,例如,“用户从市中心到商场的公交线路是什么”;(4)监控,例如,“如果孩子的校车偏离了常规路线,就提醒家长”。尽管智能手表、语音搜索、大数据平台等新的硬件和软件技术已经被引入并广泛使用,但上述每一种服务都没有从这些技术中受益。在每个服务的本地级别(微观级别)上,仍然缺少一个完整的视图。在所有服务类型的全局级别(宏观级别)上,所有位置感知服务仍然充当孤岛,全局优化服务不可用。本文介绍了我们对如何提供一个协调运作的集成宏观位置感知服务的看法,以及如何通过更好地结合新技术进一步改进每个微服务。我们还概述了与这些建议的改进相关的主要挑战。然后,我们通过应用我们的愿景来突出潜在的增值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
A vision for micro and macro location aware services
A few decades ago, the Internet was created. Since then, searching for information and services has increased exponentially. With the introduction of GPS-enabled devices, a special type of search appeared offering location-aware services. These services customize search results based on users' location. This includes, but not limited to, (1) service finding, e.g., "find the nearest pizza restaurant", (2) routing, e.g., "obtain the shortest path from a user's home to the airport", (3) transportation, e.g., "what are the bus links to get a user from downtown to the mall", and (4) monitoring, e.g., "alert a parent if their child school-bus deviates from its regular route". Though new hardware and software technologies such as smart watches, voice search, and big-data platforms have been introduced and widely used, each single type of the above services has benefited very little from these technologies. On the local level of each service (the micro level), a full-fledged view is still missing. On the global level of all service types (the macro level), all Location-aware services are still acting as isolated islands and a global optimized service is not available. This paper presents our vision of how to provide an integrated macro location-aware service that acts harmoniously, and how each micro service can be further improved by better incorporation of novel technologies. We also overview the key challenges associated with these suggested improvements. Then, we highlight the potential value-added by the application of our vision.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Location corroborations by mobile devices without traces Knowledge-based trajectory completion from sparse GPS samples Particle filter for real-time human mobility prediction following unprecedented disaster Pyspatiotemporalgeom: a python library for spatiotemporal types and operations Fast transportation network traversal with hyperedges: (industrial paper)
×
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