Abstract
Valuable user-generated information about locations (points of interest, POIs) is stored in various online social media platforms. Merging the data associated with one POI is hard because the platforms lack common identifiers. In addition, user-generated data is commonly faulty or contradictory. Here we present an approach matching POIs from Qype and Facebook Places to their counterparts in OpenStreetMap. The algorithm uses different similarity measures taking the geographic distance of POIs into account as well as the string similarity of selected metadata fields, showing good results. © 2012 Springer-Verlag.
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CITATION STYLE
Scheffler, T., Schirru, R., & Lehmann, P. (2012). Matching points of interest from different social networking sites. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7526 LNAI, pp. 245–248). https://doi.org/10.1007/978-3-642-33347-7_24
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