Improving volunteered geographic information quality using a tag recommender system: The case of OpenStreetMap

Lecture Notes in Geoinformation and Cartography

Volumn 0, Issue 9783319142791, 2015, Pages 59-80

  Vandecasteele, Arnaud ^a   Devillers, Rodolphe ^a  

^a MEMORIAL UNIVERSITY OF NEWFOUNDLAND   (Canada)

Author keywords

Data quality; OpenStreetMap (OSM); Semantic similarity; Volunteered geographic information (VGI)

Indexed keywords

COMPUTER SOFTWARE MAINTENANCE; SEMANTICS;

DATA QUALITY; LEVEL OF SATISFACTION; OPENSTREETMAP (OSM); SEMANTIC HETEROGENEITY; SEMANTIC SIMILARITY; SPATIAL HETEROGENEITY; TAG RECOMMENDER SYSTEMS; VOLUNTEERED GEOGRAPHIC INFORMATION;

RECOMMENDER SYSTEMS;

EID: 85029406709     PISSN: 18632246     EISSN: 18632351     Source Type: Book Series    
DOI: 10.1007/978-3-319-14280-7_4     Document Type: Article

References (31)

1. Auer S, Lehmann J, Hellmann S (2009) LinkedGeoData: adding a spatial dimension to the web of data. In: Proceedings of the 8th international semantic web conference, ISWC’09, Washington, DC. Lecture notes in computer science, vol 5823, Springer, Berlin, pp 731–746
2. Ballatore A, Bertolotto M, Wilson DC (2013) Geographic knowledge extraction and semantic similarity in OpenStreetMap. Knowl Inf Syst (KAIS) 37(1):61–81
3. Barron C, Neis P, Zipf A (2014) A comprehensive framework for intrinsic OpenStreetMap quality analysis. Trans GIS 18(6):877-895. doi:10.1111/tgis.12073
4. Bégin D, Devillers R, Roche S (2013) Assessing volunteered geographic information (VGI) quality based on contributors’ mapping behaviours. In: Proceedings of the 8th international symposium on spatial data quality ISSDQ 2013, Hong Kong, China, pp 149–154
5. Bland JM, Altman DG (1997) Statistics notes: Cronbach’s alpha. BMJ 314:572
6. Budhathoki NR, Nedoviæ-Budiæ Z, Bertram B (2010) An interdisciplinary frame for understanding volunteered geographic information. J Geospat Inf Sci Technol Pract 64(1):11–26
7. Codescu M, Horsinka G, Kutz O, Mossakowski T, Rau R (2011) DO-ROAM: activity-oriented search and navigation with OpenStreetMap. In: Claramunt C, Levashkin S, Bertolotto M (eds) Fourth international conference on geospatial semantics, vol 6631, Brest, France. Lecture notes in computer science, Springer, Berlin, pp 88–107
8. Coleman DJ, Georgiadou Y, Labonte J (2009) Volunteered geographic information: the nature and motivation of produsers. Int J Spat Data Infrastruct Res 4:332–358
9. Elwood S, Goodchild MF, Sui DZ (2012) Researching volunteered geographic information: spatial data, geographic research, and new social practice. Ann Assoc Am Geogr 103(3):571–590
10. Flanagin AJ, Metzger MJ (2008) The credibility of volunteered geographic information. GeoJournal 72:137–148
11. Girres J-F, Touya G (2010) Quality assessment of the French OpenStreetMap dataset. Trans GIS 14(4):435–459
12. Goodchild MF (2007) Citizens as sensors: the world of volunteered geography. GeoJournal 69:211–221
13. Goodchild MF, Li L (2012) Assuring the quality of volunteered geographic information. Spat Stat 1:110–120
14. Haklay M (2010) How good is volunteered geographical information? A comparative study of OpenStreetMap and Ordnance Survey datasets. Environ Plann B: Plann Des 37:682–703
15. Haklay M (2013) Citizen science and volunteered geographic information: overview and typology of participation. In: Sui D, Elwood S, Goodchild M (eds) Crowdsourcing geographic knowledge. Springer, The Netherlands, pp 105–122
16. Haklay M, Basiouka S, Antoniou V, Ather A (2010) How many volunteers does it take to map an area well? The validity of Linus’ law to volunteered geographic information. Cartographic J 47 (4):315–322
17. ISO/TC 211 (2002) 19113 Geographic information—quality principles. International Organization for Standardization (No. ISO 19113:2002). International Organization for Standardization (ISO)
18. Keßler C, de Groot RTA (2013) Trust as a proxy measure for the quality of volunteered geographic information in the case of OpenStreetMap. In: Association of geographic information laboratories for Europe. Presented at the Agile 2013, Leuven, Belgium, pp 21–37
19. Ludwig I, Voss A, Krause-Traudes M (2011) A comparison of the street networks of Navteq and OSM in Germany. In: Geertman S, Reinhardt W, Toppen F (eds) Advancing geoinformation science for a changing world. Lecture notes in geoinformation and cartography. Springer, Berlin, pp 65–84
20. Mooney P, Corcoran P (2012a) The annotation process in OpenStreetMap. Trans GIS 16(4):561–579
21. Mooney P, Corcoran P (2012b) Characteristics of heavily edited objects in OpenStreetMap. Future Internet 4(1):285–305
22. Mülligann C, Janowicz K, Ye M, Lee W-C (2011) Analyzing the spatial-semantic interaction of points of interest in volunteered geographic information. In: Egenhofer M, Giudice N, Moratz R, Worboys M (eds) Spatial information theory. Lecture notes in computer science. Springer, Berlin, pp 350–370
23. Neis P, Zipf A (2012) Analyzing the contributor activity of a volunteered geographic information project—the case of OpenStreetMap. ISPRS Int J Geo-Inf 1(2):146–165
24. Peters I, Stock WG (2010) “Power tags” in information retrieval. Libr Hi Tech 28(1):81–93
25. Pu P, Chen L, Hu R (2011) A user-centric evaluation framework for recommender systems. In: Proceedings of the 5th ACM conference on recommender systems, RecSys’11. ACM, New York, USA, pp 157–164
26. Rehrl K, Gröechenig S, Hochmair H, Leitinger S, Steinmann R, Wagner A (2013) A conceptual model for analyzing contribution patterns in the context of VGI. In: Krisp JM (ed) Progress in location-based services. Lecture notes in geoinformation and cartography. Springer, Berlin, pp 373–388
27. Smith B, Mark DM (2003) Do mountains exist? Towards an ontology of landforms. Environ Plan 30(3):411–427
28. Tobler W (1970) A computer movie simulating urban growth in the detroit region. Econ Geogr 46:234–240
29. van Exel M, Dias E (2011) Towards a methodology for trust stratification in VGI. In: Volunteered geographic information (VGI)—research progress and new developments. Presented at the association of American geographers annual meeting 2011, Seattle, Washington, p 4
30. Zhao P, Han J, Sun Y (2009) PRank: a comprehensive structural similarity measure over information networks. In: Proceedings of the 18th ACM conference in information and knowledge management. Presented at the CIKM, 09, ACM Press, New York, pp 553–562
31. Zipf GK (1949) Human behavior and the principle of least effort: an introduction to human ecology. Martino fine books, USA. p 588