Towards an interoperable online volunteered geographic information system for disaster response

Journal of Spatial Science

Volumn 60, Issue 2, 2015, Pages 257-275

  Zhang, Chuanrong ^a   Zhao, Tian ^b   Li, Weidong ^a  

^a UNIVERSITY OF CONNECTICUT   (United States)

^b University of Wisconsin   (United States)

Author keywords

disaster response; geospatial semantic web; volunteered geographic information (VGI)

Indexed keywords

DISASTER MANAGEMENT; GIS; SOFTWARE; SPATIAL DATA; WORLD WIDE WEB;

CONNECTICUT; UNITED STATES;

EID: 84948580508     PISSN: 14498596     EISSN: None     Source Type: Journal    
DOI: 10.1080/14498596.2015.972996     Document Type: Review

References (47)

1. M.Bahree, (2008) Citizen voices. Forbes Magazine WWW document. Available from: http://www.forbes.com/forbes/2008/1208/083.html (Accessed 1 October 2013).
2. V.Berikov,, & A.Litvinenko, (2003) Methods for statistical data analysis with decision trees, WWW document. Available from: http://math.nsc.ru/AP/datamine/eng/context.pdf (Accessed 1 October 2013).
3. M.Bishr,, & L.Mantelas, (2008) A trust and reputation model for filtering and classifying knowledge about urban growth. GeoJournal, vol. 72, no. 3–4, pp. 229–237.
4. Y.Bishr, (1998) Overcoming the semantic and other barriers to GIS interoperability. International Journal of Geographical Information Science, vol. 12, no. 4, pp. 299–314.
5. S.Castano,, A.Ferrara,, & S.Montanelli, (2006) Matching ontologies in open networked systems: techniques and applications, Data Semantics V, Lecture Notes in Computer Science, Springer, Berlin, pp. 25–63.
6. T.J.Cova, (1999) GIS in emergency management. In: P.A.Longley,, M.F.Goodchild,, D.J.Maguire,, & D.W.Rhind,, eds. Geographical Information Systems: Principles, Techniques, Applications, and Management, John Wiley & Sons, New York, NY, pp. 845–858.
7. M.Craglia,, M.F.Goodchild,, A.Annoni,, G.Camera,, M.Gould,, W.Kuhn,, D.Mark,, I.Masser,, D.Maguire,, S.Liang,, & E.Parsons, (2008) Next-generation digital earth: a position paper from the vespucci initiative for the advancement of geographic information science. International Journal of Spatial Data Infrastructures Research, vol. 3, pp. 146–167.
8. B.De Longueville,, R.S.Smith,, & G.Luraschi, (2009) “OMG, from here, I can see the flames!”: a use case of mining location based social networks to acquire spatio-temporal data on forest fires, Proceedings of the 2009 International Workshop on Location Based Social Networks Seattle, WA, November 2009, ACM, 7380.
9. B.De Longueville,, G.Luraschi,, P.Smits,, S.Peedell,, & T.De Groeve, (2010a) Citizens as sensors for natural hazards: a VGI integration workflow. Geomatica, vol. 64, no. 1, pp. 41–59.
10. B.De Longueville,, A.Annoni,, S.Schade,, N.Ostlaender,, & C.Whitmore, (2010b) Digital earth's nervous system for crisis events: real-time sensor web enablement of volunteered geographic information. International Journal of Digital Earth, vol. 3, no. 3, pp. 242–259.
11. V.De Rubeis,, P.Sbarra,, & P.Tosi, (2009) Web based macroseismic survey: fast information exchange and elaboration of seismic intensity effects in Italy, Proceeding of the 6th International ISCRAM Conference Gothenburg, Sweden, May 2009. WWW document. Available from: http://www.iscram.org/ISCRAM2009/papers/ (Accessed 1 October 2013).
12. S.Donkervoort,, S.M.Dolan,, M.Beckwith,, T.P.Northrup,, & A.Sozer, (2008) Enhancing accurate data collection in mass fatality kinship identifications: lessons learned from Hurricane Katrina. Forensic Science International: Genetics, vol. 2, no. 4, pp. 354–362.
13. S.Elwood,, M.Goodchild,, & D.Sui, (2012) Researching volunteered geographic information: spatial data, geographic research, and new social practice. Annals of the Association of American Geographers, vol. 102, no. 3, pp. 571–590.
14. A.J.Flanagin,, & M.J.Metzger, (2008) The credibility of volunteered geographic information. GeoJournal, vol. 72, no. 3–4, pp. 137–148.
15. H.Gao,, X.Wang,, G.Barbier,, & H.Liu, (2011) Promoting coordination for disaster relief – from crowdsourcing to coordination, Proceeding SBP'11 Proceedings of the 4th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction, Lecture Notes in Computer Science (LNCS) 6589 Springer, Berlin, pp. 197–204.
16. M.F.Goodchild, (2007a) Citizens as sensors: the world of volunteered geography. GeoJournal, vol. 69, no. 4, pp. 211–221.
17. M.F.Goodchild, (2007b) Citizens as voluntary sensors: spatial data infrastructure in the world of Web 2.0. International Journal of Spatial Data Infrastructures Research, vol. 2, pp. 24–32.
18. M.F.Goodchild,, & J.A.Glennon, (2010) Crowdsourcing geographic information for disaster response: a research frontier. International Journal of Digital Earth, vol. 3, no. 3, pp. 231–241.
19. D.Havlik,, M.Egly,, H.Huber,, P.Kutschera,, M.Falgenhauer,, & M.Cizek, (2013) Robust and trusted crowd-sourcing and crowd-tasking in the future internet. Environmental Software Systems. Fostering Information Sharing IFIP Advances in Information and Communication Technology, vol. 413, pp. 164–176.
20. G.N.Hess,, C.Iochpe,, & S.Castano, (2006) An algorithm and implementation for geoontologies integration, WWW document. Available from: http://www.geoinfo.info/geoinfo2006/papers/p46.pdf (Accessed 1 October 2013).
21. S.Ho,, & A.Rajabifard, (2010) Learning from the crowd: the role of volunteered geographic information in realising a spatially enabled society, WWW document. Available from: http://www.gsdi.org/gsdiconf/gsdi12/papers/45.pdf (Accessed 1 October 2013).
22. A.L.Hughes,, & L.Palen, (2009) Twitter adoption and use in mass convergence and emergency events, Proceedings of the 6th International ISCRAM Conference Gothenburg, Sweden, May 2009. WWW document. Available from: http://www.iscram.org/ISCRAM2009/papers/ (Accessed 1 October 2013).
23. C.E.Jones,, N.J.Mount,, & P.Weber, (2012) The rise of the GIS volunteer. Transactions in GIS, vol. 16, no. 4, pp. 431–434.
24. A.Kawasaki,, M.L.Berman,, & W.Guan, (2013) The growing role of web-based geospatial technology in disaster response and support. Disasters, vol. 37, no. 2, pp. 201–221.
25. M.Laituri,, & K.Kodrich, (2008) On line disaster response community: people as sensors of high magnitude disasters using internet GIS. Sensors, vol. 8, no. 5, pp. 3037–3055.
26. J.McGee,, P.Carozza,, T.Edelstein,, L.Hoffman,, S.Jackson,, R.McGrath,, & C.Osten, (2012) Report of the two storm panel, WWW document. Available from: http://www.governor.ct.gov/malloy/lib/malloy/two_storm_panel_final_report.pdf (Accessed 8 July 2014).
27. N.Morrow,, N.Mock,, A.Papendieck,, & N.Kocmich, (2011) Independent evaluation of the Ushahidi Haiti project, Tech. Rep. The UHP Independent Evaluation Team. WWW document. Available from: http://ggs684.pbworks.com/w/file/fetch/60819963/1282.pdf (Accessed 1 October 2013).
28. L.Palen,, S.Vieweg,, S.B.Liu,, & A.L.Hughes, (2009) Crisis in a networked world: features of computer-mediated communication in the April 16, 2007, Virginia Tech event. Social Science Computer Review, vol. 27, no. 4, pp. 467–480.
29. Z.-R.Peng,, & C.Zhang, (2004) The roles of geography markup language (GML), scalable vector graphics (SVG), and Web feature service (WFS) specifications in the development of internet geographic information systems (GIS). Journal of Geographical Systems, vol. 6, no. 2, pp. 95–116.
30. K.Poser,, & D.Dransch, (2010) Volunteered geographic information for disaster management with application to rapid flood damage estimation. Geomatica, vol. 64, no. 1, pp. 89–98.
31. A.Rajabifard,, A.Binns,, & I.Williamson, (2006) Virtual Australia: developing an enabling platform to improve opportunities in the spatial information industry. Journal of Spatial Science, vol. 51, no. 1, pp. 63–78.
32. E.Raymond, (1999) The Cathedral and the Bazaar: Musings on Linux and Open Source by an Accidental Revolutionary, O'Reilly Media, Sebastapol, CA.
33. H.Senaratne,, A.Bröring,, & T.Schreck, (2013) Using reverse viewshed analysis to assess the location correctness of visually generated VGI. Transactions in GIS, vol. 17, no. 3, pp. 369–386.
34. A.Stefanidis,, A.Crooks,, & J.Radzikowski, (2013) Harvesting ambient geospatial information from social media feeds. GeoJournal, vol. 78, no. 2, pp. 319–338.
35. U.S. House Select Bipartisan Committee to Investigate the Preparation for and Response to Hurricanes Katrina and Rita (2006) Washington, DC: February 15, A Failure of Initiative: The Final Report of the Select Bipartisan Committee to Investigate the Preparation for and Response to Hurricanes Katrina and Rita.
36. White House (2006) The Federal Response to Hurricane Katrina: Lessons Learned, Executive Office of the President, WWW document. Available from: http://www.whitehouse.gov/reports/Katrina-lessons-learned.pdf (Accessed 1 October 2013) Washington, DC.
37. A.Zerger,, & D.I.Smith, (2003) Impediments to using GIS for real-time disaster decision support. Computers, Environment and Urban Systems, vol. 27, no. 2, pp. 123–141.
38. C.Zhang,, & W.Li, (2005) The roles of web feature and web map services in real-time geospatial data sharing for time-critical applications. Cartography and Geographic Information Science, vol. 32, no. 4, pp. 269–283.
39. C.Zhang,, W.Li,, Z.-R.Day,, & M.Peng, (2003) GML-based interoperable geographical databases. Cartography, vol. 32, no. 2, pp. 1–16.
40. C.Zhang,, W.Li,, & T.Zhao, (2007) Geospatial data sharing based on geospatial semantic web technologies. Journal of Spatial Science, vol. 52, no. 2, pp. 35–49.
41. C.Zhang,, Z.-R.Peng,, T.Zhao,, & W.Li, (2008) Transformation of transportation data models from unified modeling language to web ontology language. Transportation Research Record: Journal of the Transportation Research Board, vol. 2064, no. 1, pp. 81–89.
42. C.Zhang,, T.Zhao,, & W.Li, (2010a) The framework of a geospatial semantic web-based spatial decision support system for digital earth. International Journal of Digital Earth, vol. 3, no. 2, pp. 111–134.
43. C.Zhang,, T.Zhao,, & W.Li, (2010b) Automatic search of geospatial features for disaster and emergency management. International Journal of Applied Earth Observation and Geoinformation, vol. 12, no. 6, pp. 409–418.
44. C.Zhang,, T.Zhao,, W.Li,, & J.Osleeb, (2010c) Towards logic-based geospatial feature discovery and integration using web feature service and geospatial semantic web. International Journal of Geographical Information Science, vol. 24, no. 6, pp. 903–923.
45. T.Zhao,, C.Zhang,, M.Wei,, & Z.-R.Peng, (2008) Ontology-based geospatial data query and integration, Lecture Notes in Computer Science LNCS: Geographic Information Science, 5266 Springer, Berlin, pp. 370–392.
46. D.Zielstra,, H.H.Hochmair,, & P.Neis, (2013) Assessing the effect of data imports on the completeness of OpenStreetMap – a United States case study. Transactions in GIS, vol. 17, no. 3, pp. 315–334.
47. M.Zook,, M.Graham,, T.Shelton,, & S.Gorman, (2010) Volunteered geographic information and crowdsourcing disaster relief: a case study of the Haitian earthquake. World Medical & Health Policy, vol. 2, no. 2, pp. 7–33. doi:10.2202/1948-4682.1069.