(2012) Matching Points of Interest from Different Social Networking Sites.
In:
UNSPECIFIED
Lecture Notes in Computer Science/Lecture Notes in Artificial Intelligence, LNAI, 7526
.
Springer, pp. 245-248.
Full text not available from this repository.
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.
| Item Type: | Book Section |
|---|---|
| Additional Information: | pub_id: 686 Bibtex: ScScLe_12:poi URL date: None |
| Uncontrolled Keywords: | Data Integration,Points of Interest,Social Networks,User-Generated Content |
| Depositing User: | Sebastian Weisgerber |
| Date Deposited: | 26 Jul 2017 10:30 |
| Last Modified: | 18 Jul 2019 12:12 |
| Primary Research Area: | NRA5: Empirical & Behavioral Security |
| URI: | https://publications.cispa.saarland/id/eprint/594 |
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