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Volunteered geographic services: developing a linked data driven location-based service

Published: 01 November 2011 Publication History

Abstract

The term Volunteered Geographic Information (VGI) describes various layperson-based, geo-collaboration projects to collect, maintain, and visualize information. VGI has been successfully utilized in scenarios such as emergency response and is also increasingly integrated into commercial products. Based on an analysis of existing projects and research, we propose to extend the idea of VGI by introducing Volunteered Geographic Services (VGS). Instead of contributing information, volunteers can request or offer microservices to their local community. We provide a flexible server framework that handles service requests and offers. We also implement a smartphone application developed using Google's Android platform. The server and mobile client are realized following the Linked Data paradigm and using Semantic Web technologies. In this paper, we discuss the idea behind VGS, motivate it using two scenarios, and explain the technical realization.

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  • (2019)Volunteered Geographic ServiceAnalytics, Operations, and Strategic Decision Making in the Public Sector10.4018/978-1-5225-7591-7.ch001(1-19)Online publication date: 2019
  • (2018)Satellite image analysis using crowdsourcing data for collaborative mapping: current and opportunitiesInternational Journal of Digital Earth10.1080/17538947.2018.1556352(1-16)Online publication date: 20-Dec-2018
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cover image ACM Conferences
SSO '11: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Spatial Semantics and Ontologies
November 2011
57 pages
ISBN:9781450310390
DOI:10.1145/2068976
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 November 2011

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Author Tags

  1. linked data
  2. location-based services
  3. mobile computing
  4. volunteered geographic information

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  • (2021)Towards Smart City Governance. Case Study: Improving the Interpretation of Quantitative Traffic Measurement Data through Citizen ParticipationSensors10.3390/s2116532121:16(5321)Online publication date: 6-Aug-2021
  • (2019)Volunteered Geographic ServiceAnalytics, Operations, and Strategic Decision Making in the Public Sector10.4018/978-1-5225-7591-7.ch001(1-19)Online publication date: 2019
  • (2018)Satellite image analysis using crowdsourcing data for collaborative mapping: current and opportunitiesInternational Journal of Digital Earth10.1080/17538947.2018.1556352(1-16)Online publication date: 20-Dec-2018
  • (2017)ISED: Constructing a high-resolution elevation road dataset from massive, low-quality in-situ observations derived from geosocial fitness tracking dataPLOS ONE10.1371/journal.pone.018647412:10(e0186474)Online publication date: 13-Oct-2017
  • (2017)An Approach for Semantically Enriching Volunteered Geographic Data with Linked DataComputational Science and Its Applications – ICCSA 201710.1007/978-3-319-62398-6_21(296-306)Online publication date: 14-Jul-2017
  • (2016)Guided Classification System for Conceptual Overlapping Classes in OpenStreetMapISPRS International Journal of Geo-Information10.3390/ijgi50600875:6(87)Online publication date: 7-Jun-2016
  • (2016)Crowdsensing smart ambient environments and servicesTransactions in GIS10.1111/tgis.1223320:3(382-398)Online publication date: 28-Jun-2016
  • (2016)Applying VGI to collaborative research in the humanities: the case of ARTL@SCartography and Geographic Information Science10.1080/15230406.2016.121680444:6(521-538)Online publication date: 31-Aug-2016
  • (2015)OpenEventMap: A Volunteered Location-Based ServiceCartographica: The International Journal for Geographic Information and Geovisualization10.3138/cart.50.4.313050:4(248-258)Online publication date: Dec-2015
  • (2014)Citizens as Expert Sensors: One Step Up on the VGI LadderProgress in Location-Based Services 201410.1007/978-3-319-11879-6_15(213-222)Online publication date: 6-Nov-2014
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