document: Mining collective local knowledge from Google MyMaps The emerging popularity of location-aware devices and location-based services has generated a growing archive of digital traces of people 's activities and opinions in physical space . In this study , we leverage geo-referenced user-generated content from Google MyMaps to discover collective local knowledge and understand the differing perceptions of urban space . Working with the large collection of publicly available , annotation-rich MyMaps data , we propose a highly parallelizable approach in order to merge identical places , discover landmarks , and recommend places . Additionally , we conduct interviews with New York City residents\/visitors to validate the quantitative findings .
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