Tim O’Reilly (O‘Reilly, 2005) discussed the concept of Web 2.0 or “read-write” web. Web 2.0encouraged greater collaboration among internet users and other users, content providers, and enterprises (Sehra et al., 2013). This movement provided new methods of sharing and computing data (Haklay et al., 2008) by crowdsourcing movement similar to Wikipedia (Howe, 2006). In regard to the geographical data the crowd-sourced movement is known as VGI (Volunteered Geographic Information), and others call it collaborative mapping (Fischer, 2008), so it is a special case of this web phenomenon and has been applied in many popular websites such as Wikimapia, OpenStreetMap, Google Map, Flickr (Kounadi, 2009). The CrowdSourced OpenStreetMap produces huge spatial data, with the help of numerous users of varying level of mapping experiences. Due to varying level of mapping experience of the users, various errors are introduced and one of the most
common error is topological error, also called logical inconsistency. In recent years some studies on quality have been undertaken (Neis et al., 2011), the results of the studies on OpenStreetMap data collection quality concluded overall heterogeneous quality. Hetrogenous quality means that the quality and completeness of the map data varies highly from country to country.