{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T17:49:38Z","timestamp":1770140978826,"version":"3.49.0"},"reference-count":77,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2016,6,7]],"date-time":"2016-06-07T00:00:00Z","timestamp":1465257600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>The increased development of Volunteered Geographic Information (VGI) and its potential role in GIScience studies raises questions about the resulting data quality. Several studies address VGI quality from various perspectives like completeness, positional accuracy, consistency, etc. They mostly have consensus on the heterogeneity of data quality. The problem may be due to the lack of standard procedures for data collection and absence of quality control feedback for voluntary participants. In our research, we are concerned with data quality from the classification perspective. Particularly in VGI-mapping projects, the limited expertise of participants and the non-strict definition of geographic features lead to conceptual overlapping classes, where an entity could plausibly belong to multiple classes, e.g., lake or pond, park or garden, marsh or swamp, etc. Usually, quantitative and\/or qualitative characteristics exist that distinguish between classes. Nevertheless, these characteristics might not be recognizable for non-expert participants. In previous work, we developed the rule-guided classification approach that guides participants to the most appropriate classes. As exemplification, we tackle the conceptual overlapping of some grass-related classes. For a given data set, our approach presents the most highly recommended classes for each entity. In this paper, we present the validation of our approach. We implement a web-based application called Grass&amp;Green that presents recommendations for crowdsourcing validation. The findings show the applicability of the proposed approach. In four months, the application attracted 212 participants from more than 35 countries who checked 2,865 entities. The results indicate that 89% of the contributions fully\/partially agree with our recommendations. We then carried out a detailed analysis that demonstrates the potential of this enhanced data classification. This research encourages the development of customized applications that target a particular geographic feature.<\/jats:p>","DOI":"10.3390\/ijgi5060087","type":"journal-article","created":{"date-parts":[[2016,6,7]],"date-time":"2016-06-07T02:51:31Z","timestamp":1465267891000},"page":"87","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Guided Classification System for Conceptual Overlapping Classes in OpenStreetMap"],"prefix":"10.3390","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8939-3426","authenticated-orcid":false,"given":"Ahmed","family":"Ali","sequence":"first","affiliation":[{"name":"Bremen Spatial Cognition Center (BSCC), University of Bremen, Bremen 28334, Germany"},{"name":"Information System Department, Faculty of Computers and Information, Assuit University, Assuit 71515, Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nuttha","family":"Sirilertworakul","sequence":"additional","affiliation":[{"name":"Faculty of Information and Communication Technology, Mahidol University, Bangkok 73170, Thailand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4916-9838","authenticated-orcid":false,"given":"Alexander","family":"Zipf","sequence":"additional","affiliation":[{"name":"GIScience research group, Institute of Geography, Heidelberg University, Heidelberg 69120, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amin","family":"Mobasheri","sequence":"additional","affiliation":[{"name":"GIScience research group, Institute of Geography, Heidelberg University, Heidelberg 69120, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2016,6,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1007\/s10708-007-9111-y","article-title":"Citizens as sensors: The world of volunteered geography","volume":"69","author":"Goodchild","year":"2007","journal-title":"GeoJournal"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1007\/s10708-008-9183-3","article-title":"New approaches to environmental monitoring: The use of ICT to explore volunteered geographic information","volume":"72","author":"Gouveia","year":"2008","journal-title":"GeoJournal"},{"key":"ref_3","unstructured":"Mooney, P., and Corcoran, P. (2011). Environmental Software Systems. Frameworks of eEnvironment, Springer."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1007\/s10708-011-9423-9","article-title":"GeoWeb and crisis management: Issues and perspectives of volunteered geographic information","volume":"78","author":"Roche","year":"2013","journal-title":"GeoJournal"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"7","DOI":"10.2202\/1948-4682.1069","article-title":"Volunteered Geographic Information and crowdsourcing disaster relief: A case study of the Haitian earthquake","volume":"2","author":"Zook","year":"2010","journal-title":"World Med. Health Policy"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1080\/17489720903150016","article-title":"The second life of urban planning? Using NeoGeography tools for community engagement","volume":"3","author":"Foth","year":"2009","journal-title":"J. Locat. Based Serv."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Mooney, P., Sun, H., and Yan, L. (2011, January 17\u201321). VGI as a dynamically updated data source in location-based services in urban environments. Proceedings of the 2nd International Workshop in Ubiquitous Crowdsourcing: UbiCrowd\u201911, Beijing, China.","DOI":"10.1145\/2030100.2030105"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1109\/MPRV.2008.80","article-title":"OpenStreetMap: User-generated street maps","volume":"7","author":"Haklay","year":"2008","journal-title":"IEEE Pervasive Computing"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Savelyev, A., Xu, S., Janowicz, K., M\u00fclligann, C., Thatcher, J., and Luo, W. (2011, January 1). Volunteered geographic services: Developing a linked data driven location-based service. Proceedings of the 1st ACM SIGSPATIAL International Workshop on Spatial Semantics and Ontologies, Chicago, IL, USA.","DOI":"10.1145\/2068976.2068980"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"571","DOI":"10.1080\/00045608.2011.595657","article-title":"Researching Volunteered Geographic Information: Spatial data, geographic research, and new social practice","volume":"102","author":"Elwood","year":"2012","journal-title":"Ann. Assoc. Am. Geogr."},{"key":"ref_11","unstructured":"Ali, A.L., and Schmid, F. (2014). Geographic Information Science, Springer."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1111\/j.1467-9671.2010.01212.x","article-title":"Thirty years of research on spatial data quality: achievements, failures, and opportunities","volume":"14","author":"Devillers","year":"2010","journal-title":"Trans. GIS"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1016\/j.spasta.2012.03.002","article-title":"Assuring the quality of Volunteered Geographic Information","volume":"1","author":"Goodchild","year":"2012","journal-title":"Spat. Stat."},{"key":"ref_14","unstructured":"Goodchild, M.F. (July, January 30). Assertion and authority: The science of user-generated geographic content. Proceedings of the Colloquium for Andrew U. Frank\u2019s 60th Birthday, Vienna, Italy."},{"key":"ref_15","unstructured":"Guptill, S.C., and Morrison, J.L. (2013). Elements of Spatial Data Quality, Elsevier."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"211","DOI":"10.5194\/isprsannals-II-3-W5-211-2015","article-title":"Towards rule-guided classification for Volunteered Geographic Information","volume":"II-3\/W5","author":"Ali","year":"2015","journal-title":"ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Ali, A.L., Falomir, Z., Schmid, F., and Freksa, C. (2016). Rule-guided human classification of Volunteered Geographic Information. ISPRS J. Photogramm and Remote Sens., in press.","DOI":"10.1016\/j.isprsjprs.2016.06.003"},{"key":"ref_18","unstructured":"OSM Users\u2019 diaries. Available online: https:\/\/www.openstreetmap.org\/diary."},{"key":"ref_19","unstructured":"OSMstats. Available online: http:\/\/osmstats.neis-one.org\/."},{"key":"ref_20","unstructured":"stensen, O.M., and Smits, P.C. (2002, January 24\u201328). ISO\/TC211: Standardisation of geographic information and geo-informatics. Proceedings of the 2002 IEEE International Geoscience and Remote Sensing Symposium, IGARSS\u201902, Toronto, ON, Canada."},{"key":"ref_21","unstructured":"ISO\/TC211. Available online: http:\/\/www.isotc211.org\/."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"682","DOI":"10.1068\/b35097","article-title":"How good is Volunteered Geographic Information? A comparative study of OpenStreetMap and Ordnance Survey datasets","volume":"37","author":"Haklay","year":"2010","journal-title":"Environ. Plan. B Plan. Des."},{"key":"ref_23","unstructured":"Ludwig, I., Voss, A., and Krause-Traudes, M. (2011). Advancing Geoinformation Science for a Changing World, Springer."},{"key":"ref_24","unstructured":"Arsanjani, J.J., Mooney, P., Zipf, A., and Schauss, A. (2015). OpenStreetMap in GIScience, Springer."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1657","DOI":"10.3390\/ijgi4031657","article-title":"Quality evaluation of VGI using authoritative data\u2014A comparison with land use data in southern Germany","volume":"4","author":"Dorn","year":"2015","journal-title":"ISPRS Int. J. Geo-Inf."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Vaz, E., and Jokar Arsanjani, J. (2015). Crowdsourced mapping of land use in urban dense environments: An assessment of Toronto. Can. Geogr.","DOI":"10.1111\/cag.12170"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"435","DOI":"10.1111\/j.1467-9671.2010.01203.x","article-title":"Quality assessment of the French OpenStreetMap dataset","volume":"14","author":"Girres","year":"2010","journal-title":"Trans. GIS"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1007\/s10708-008-9188-y","article-title":"The credibility of Volunteered Geographic Information","volume":"72","author":"Flanagin","year":"2008","journal-title":"GeoJournal"},{"key":"ref_29","unstructured":"Bishr, M., and Kuhn, W. (2007). The European Information Society, Springer."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"146","DOI":"10.3390\/ijgi1020146","article-title":"Analyzing the contributor activity of a Volunteered Geographic Information project: The case of OpenStreetMap","volume":"1","author":"Neis","year":"2012","journal-title":"ISPRS Int. J. Geo-Inf."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3390\/fi4010001","article-title":"The street network evolution of crowdsourced maps: OpenStreetMap in Germany 2007\u20132011","volume":"4","author":"Neis","year":"2011","journal-title":"Future Internet"},{"key":"ref_32","unstructured":"Ke\u00dfler, C., and de Groot, R.T.A. (2013). Geographic Information Science at the Heart of Europe, Springer."},{"key":"ref_33","unstructured":"Ke\u00dfler, C., Trame, J., and Kauppinen, T. (2016, January 12\u201316). Tracking editing processes in Volunteered Geographic Information: The case of OpenStreetMap. Proceedings of Workshop on Identifying Objects, Processes and Events in Spatio-Temporally Distributed Data (IOPE 2011), Belfast, ME, USA."},{"key":"ref_34","unstructured":"D\u2019Antonio, F., Fogliaroni, P., and Kauppinen, T. (2014, January 3\u20136). VGI edit history reveals data trustworthiness and user reputation. Proceedings of the 17th AGILE Conference on Geographic Information Science, Connecting a Digital Europe through Location and Place, Castellon, Spain."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"282","DOI":"10.3390\/fi5020282","article-title":"Comparison of Volunteered Geographic Information data contributions and community development for selected world regions","volume":"5","author":"Neis","year":"2013","journal-title":"Future Internet"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Ballatore, A., and Zipf, A. (2015, January 12\u201316). A conceptual quality framework for Volunteered Geographic Information. Proceedings of the 12th International Conference on Spatial Information Theory COSIT 2015, Santa Fe, NM, USA.","DOI":"10.1007\/978-3-319-23374-1_5"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"877","DOI":"10.1111\/tgis.12073","article-title":"A comprehensive framework for intrinsic OpenStreetMap quality analysis","volume":"18","author":"Barron","year":"2014","journal-title":"Trans. GIS"},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Hecht, B., and Stephens, M. (2014, January 27\u201329). A tale of cities: Urban biases in Volunteered Geographic Information. Proceeding of the 8th International Conference on Weblogs and Social Media (ICWSM), Oxford, UK.","DOI":"10.1609\/icwsm.v8i1.14554"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Quattrone, G., Mashhadi, A., and Capra, L. (2014, January 15\u201319). Mind the map: the impact of culture and economic affluence on crowd-mapping behaviours. Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work & Social Computing, Baltimore, MD, USA.","DOI":"10.1145\/2531602.2531713"},{"key":"ref_40","unstructured":"Schmid, F., Kutz, O., Frommberger, L., Kauppinen, T., and Cai, C. (2012, January 31). Intuitive and natural interfaces for geospatial data classification. Proceedings of Workshop on Place-Related Knowledge Acquisition Research (P-KAR), Kloster Seeon, Germany."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Schmid, F., Frommberger, L., Cai, C., and Dylla, F. (2013, January 6\u20137). Lowering the barrier: How the What-You-See-Is-What-You-Map paradigm enables people to contribute volunteered geographic information. Proceedings of the 4th Annual Symposium on Computing for Development, Cape Town, South Africa.","DOI":"10.1145\/2537052.2537056"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"704","DOI":"10.3390\/ijgi2030704","article-title":"Towards an authoritative OpenStreetMap: Conflating OSM and OS OpenData national maps\u2019 road network","volume":"2","author":"Pourabdollah","year":"2013","journal-title":"ISPRS Int. J. Geo-Inf."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"143","DOI":"10.5194\/isprsarchives-XL-2-W1-143-2013","article-title":"Improving Volunteered Geographic Data quality using semantic similarity measurements","volume":"1","author":"Vandecasteele","year":"2013","journal-title":"ISPRS-Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Ali, A.L., Schmid, F., Al-Salman, R., and Kauppinen, T. (2014, January 4\u20137). Ambiguity and plausibility: Managing classification quality in Volunteered Geographic Information. Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Dallas, TX, USA.","DOI":"10.1145\/2666310.2666392"},{"key":"ref_45","unstructured":"Yanenko, O., and Schlieder, C. (2014, January 3\u20136). Game principles for enhancing the quality of user-generated data collections. Proceedings of the AGILE, Workshop Geogames Geoplay, Castellon, Spain."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Karagiannakis, N., Giannopoulos, G., Skoutas, D., and Athanasiou, S. (2015, January 16\u201320). OSMRec tool for automatic recommendation of categories on spatial entities in OpenStreetMap. Proceedings of the 9th ACM Conference on Recommender Systems, Vienna, Austria.","DOI":"10.1145\/2792838.2796555"},{"key":"ref_47","unstructured":"OSMRecPlugin. Available online: https:\/\/github.com\/GeoKnow\/OSMRec."},{"key":"ref_48","unstructured":"OSM Inspector. Available online: http:\/\/tools.geofabrik.de\/osmi\/."},{"key":"ref_49","unstructured":"Keep Right. Available online: http:\/\/keepright.ipax.at\/."},{"key":"ref_50","unstructured":"Map Roulette. Available online: http:\/\/maproulette.org\/."},{"key":"ref_51","unstructured":"Map Dust. Available online: http:\/\/www.mapdust.com\/."},{"key":"ref_52","unstructured":"NOVAM. Available online: http:\/\/b3e.net\/novam\/."},{"key":"ref_53","first-page":"191","article-title":"Models of uncertainty in spatial data","volume":"1","author":"Fisher","year":"1999","journal-title":"Geograph. Inf. Syst."},{"key":"ref_54","unstructured":"Sparks, K., Klippel, A., Wallgr\u00fcn, J.O., and Mark, D. (2015). Spatial Information Theory, Springer."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"325","DOI":"10.5194\/isprsannals-II-3-W5-325-2015","article-title":"Pitfalls and potentials of crowd science: A meta-analysis of contextual influences","volume":"II-3\/W5","author":"Klippel","year":"2015","journal-title":"ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_56","first-page":"1","article-title":"Accurate attribute mapping from volunteered geographic information: issues of volunteer quantity and quality","volume":"52","author":"Foody","year":"2014","journal-title":"Cartogr. J."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1016\/j.envsoft.2011.11.015","article-title":"Geo-Wiki: An online platform for improving global land cover","volume":"31","author":"Fritz","year":"2012","journal-title":"Environ. Model. Softw."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"561","DOI":"10.1111\/j.1467-9671.2012.01306.x","article-title":"The annotation process in OpenStreetMap","volume":"16","author":"Mooney","year":"2012","journal-title":"Trans. GIS"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1007\/s10115-012-0571-0","article-title":"Geographic knowledge extraction and semantic similarity in OpenStreetMap","volume":"37","author":"Ballatore","year":"2013","journal-title":"Knowl. Inf. Syst."},{"key":"ref_60","unstructured":"Baglatzi, A., Kokla, M., and Kavouras, M. (2012, January 12). Semantifying OpenStreetMap. Proceedings of the 5th International Terra Cognita Workshop, Boston, MA, USA."},{"key":"ref_61","unstructured":"Comber, A.J., Fisher, P., Harvey, F., Gahegan, M., and Wadsworth, R. (2006, January 12\u201314). Using metadata to link uncertainty and data quality assessments. Proceedings of the 12th International Symposium on Spatial Data Handling, Vienna, Austria."},{"key":"ref_62","first-page":"61","article-title":"Spatial data uncertainty in the VGI world: Going from consumer to producer","volume":"64","author":"Grira","year":"2010","journal-title":"Geomatica"},{"key":"ref_63","doi-asserted-by":"crossref","unstructured":"Egenhofer, M.J., and Al-Taha, K.K. (1992, January 21\u201323). Reasoning about Gradual Changes of Topological Relationships. Proceedings of International Conference GIS\u2014From Space to Territory: Theories and Methods of Spatio-Temporal Reasoning, Pisa, Italy.","DOI":"10.1007\/3-540-55966-3_12"},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1017\/S0269888907001026","article-title":"A review of associative classification mining","volume":"22","author":"Thabtah","year":"2007","journal-title":"Knowl. Eng. Rev."},{"key":"ref_65","unstructured":"Ubuntu Server. Available online: http:\/\/www.ubuntu.com\/server."},{"key":"ref_66","unstructured":"OpenScienceMap. Available online: http:\/\/www.opensciencemap.org\/."},{"key":"ref_67","unstructured":"Wordnet. Available online: https:\/\/wordnet.princeton.edu\/."},{"key":"ref_68","unstructured":"Leaflet. Available online: http:\/\/leafletjs.com\/."},{"key":"ref_69","unstructured":"Bootstrap. Available online: http:\/\/getbootstrap.com\/."},{"key":"ref_70","unstructured":"JQuery. Available online: https:\/\/jquery.com\/."},{"key":"ref_71","unstructured":"OAuth. Available online: http:\/\/oauth.net\/."},{"key":"ref_72","unstructured":"Crone, G.R. (1966). Maps and Their Makers: An Introduction to the History of Cartography, Hutchinson\u2019s University Library."},{"key":"ref_73","doi-asserted-by":"crossref","unstructured":"Goodchild, M.F., and Gopal, S. (1989). The Accuracy of Spatial Databases, CRC Press.","DOI":"10.1201\/b12612"},{"key":"ref_74","unstructured":"Goodchild, M.F. Data Models and Data Quality: Problems and Prospects. Available online: http:\/\/www.geog.ucsb.edu\/ good\/papers\/192.pdf."},{"key":"ref_75","unstructured":"Thatcher, J. (2013). Crowdsourcing Geographic Knowledge, Springer."},{"key":"ref_76","first-page":"197","article-title":"Capturing volunteered information for inclusive service design: potential benefits and challenges","volume":"16","author":"Parker","year":"2013","journal-title":"Des. J."},{"key":"ref_77","unstructured":"Frank, A.U. (1997). Spatial and Temporal Reasoning, Springer."}],"container-title":["ISPRS International Journal of Geo-Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2220-9964\/5\/6\/87\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T19:25:06Z","timestamp":1760210706000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2220-9964\/5\/6\/87"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,6,7]]},"references-count":77,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2016,6]]}},"alternative-id":["ijgi5060087"],"URL":"https:\/\/doi.org\/10.3390\/ijgi5060087","relation":{},"ISSN":["2220-9964"],"issn-type":[{"value":"2220-9964","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,6,7]]}}}