research-article

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

Authors:

Alexander Savelyev,

Krzysztof Janowicz,

Christoph Mülligann,

Wei LuoAuthors Info & Claims

SSO '11: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Spatial Semantics and Ontologies

Pages 25 - 31

https://doi.org/10.1145/2068976.2068980

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.

References

[1]

M. Bishr and K. Janowicz. Can we trust information? - the case of volunteered geographic information. In Towards Digital Earth Search Discover and Share Geospatial Data Workshop at Future Internet Symposium, volume Vol-640. CEUR-WS, 2010.

[2]

C. Bizer, T. Heath, and T. Berners-Lee. Linked Data -- The Story So Far. International Journal on Semantic Web and Information Systems, 5(3):1--22, 2009.

[3]

J. David and J. Euzenat. Linked data from your pocket: The android rdfcontent-provider. volume 6496 of LNCS. Springer, 2010.

[4]

A. J. Flanagin and M. J. Metzger. The Credibility of Volunteered Geographic Information. GeoJournal, 72(3--4):137--148, 2008.

[5]

M. Goodchild. Citizens as sensors: the world of volunteered geography. GeoJournal, 69(4):211--221, 2007.

[6]

M. F. Goodchild and J. A. Glennon. Crowdsourcing geographic information for disaster response: a research frontier. International Journal of Digital Earth, 3(3):231--241, 2010.

[7]

J. Howe. The Rise of Crowdsourcing. The Wired Magazine, 14.06, 2006.

[8]

J. Howe. Crowdsourcing: Why the Power of the Crowd Is Driving the Future of Business. Crown Business, 2008.

Digital Library

[9]

National Research Council. Successful Response Starts with a Map: Improving Geospatial Support for Disaster Management. The National Academies Press, 2007.

[10]

O. Okolloh. Ushahidi, or 'testimony': Web 2.0 tools for crowdsourcing crisis information. Participatory Learning and Action, 59(6):65--70, 2009.

[11]

M. Parry. Academics Join Relief Efforts Around the World as Crisis Mappers. The Cronicle of Higher Education, March 27, 2011.

[12]

M. Raubal and S. Winter. A Spatio-Temporal Model Towards Ad-Hoc Collaborative Decision-Makin. In M. S. M. Painho and H. Pundt, editors, Geospatial Thinking, Lecture Notes in Geoinformation and Cartography, pages 279--297. Springer, 2010.

[13]

N. Schuurman. An Interview with Michael Goodchild. Environment and Planning D: Society and Space, 27(4):573--580, 2009.

[14]

A. Sheth, C. Henson, and S. Sahoo. Semantic Sensor Web. IEEE Internet Computing, pages 78--83, 2008.

Digital Library

[15]

J. Thatcher, C. Mülligann, W. Luo, S. Xu, E. Guidero, and K. Janowicz. Hidden Ontologies - How Mobile Computing affects the Conceptualization of Geographic Space. In Proceedings of Workshop on Cognitive Engineering for Mobile GIS 2011 (CEMob2011), 2011.

[16]

S. Tramp, P. Frischmuth, N. Arndt, T. Ermilov, and S. Auer. Weaving a distributed, semantic social network for mobile users. In Proceedings of the 8th extended semantic web conference on The semantic web: research and applications - Volume Part I, ESWC'11, pages 200--214, Berlin, Heidelberg, 2011. Springer-Verlag.

Digital Library

[17]

M. Zook, M. Graham, T. Shelton, and S. Gorman. Volunteered Geographic Information and Crowdsourcing Disaster Relief: A Case Study of the Haitian Earthquake. World Medical & Health Policy, 2(2):231--241, 2010.

Cited By

Fonseca DSanchez-Sepulveda MNecchi SPeña E(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
https://doi.org/10.3390/s21165321
Gentili MWaters NTubbsum MNicholas D(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
https://doi.org/10.4018/978-1-5225-7591-7.ch001
Su WSui DZhang X(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
https://doi.org/10.1080/17538947.2018.1556352
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Index Terms

Volunteered geographic services: developing a linked data driven location-based service
1. Information systems
  1. World Wide Web
    1. Web applications
      1. Internet communications tools
2. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Software architectures

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Published In

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

Editors:
Nancy Wiegand
University of Wisconsin-Madison
,
Gary Berg-Cross
Knowledge Strategies, Inc.
,
Dalia Varanka
United States Geological Survey (USGS)

Copyright © 2011 ACM.

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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SIGSPATIAL: ACM Special Interest Group on Spatial Information

In-Cooperation

SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 November 2011

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GIS '11

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SIGSPATIAL

GIS '11: 19th SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 1, 2011

Illinois, Chicago

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Cited By

Fonseca DSanchez-Sepulveda MNecchi SPeña E(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
https://doi.org/10.3390/s21165321
Gentili MWaters NTubbsum MNicholas D(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
https://doi.org/10.4018/978-1-5225-7591-7.ch001
Su WSui DZhang X(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
https://doi.org/10.1080/17538947.2018.1556352
McKenzie GJanowicz K(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
https://doi.org/10.1371/journal.pone.0186474
da Costa LOliveira IMoreira ALisboa-Filho J(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
https://doi.org/10.1007/978-3-319-62398-6_21
Ali ASirilertworakul NZipf AMobasheri A(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
https://doi.org/10.3390/ijgi5060087
Regalia BMcKenzie GGao SJanowicz K(2016)Crowdsensing smart ambient environments and servicesTransactions in GIS10.1111/tgis.1223320:3(382-398)Online publication date: 28-Jun-2016
https://doi.org/10.1111/tgis.12233
Dossin CKong NJoyeux-Prunel B(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
https://doi.org/10.1080/15230406.2016.1216804
Polous KKrisp JMeng LShrestha BXiao J(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
https://doi.org/10.3138/cart.50.4.3130
Karimipour FAzari O(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
https://doi.org/10.1007/978-3-319-11879-6_15
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