Discovering and Characterizing Places of Interest Using Flickr and Twitter
Author:
Affiliation:
1. iMinds, Department of Information Technology (INTEC), Ghent University, Gent, Belgium
2. School of Computer Science & Informatics, Cardiff University, Cardiff, United Kingdom
Abstract
Publisher
IGI Global
Subject
Computer Networks and Communications,Information Systems
Reference37 articles.
1. Abbasi, R., Chernov, S., Nejdl, W., & Paiu, R. (2009). Exploiting flickr tags and groups for finding landmark photos. In M. Boughanem, C. Berrut, J. Mothe, & C. Soule-Dupuy (Eds.), Advances in Information Retrieval (pp. 654–661). Springer Berlin / Heidelberg.
2. Ahern, S., Naaman, M., & Nair, R. (2007). World explorer: visualizing aggregate data from unstructured text in geo-referenced collections. In Proceedings of the 7th ACM/IEEE-CS Joint Conference on Digital Libraries (pp. 1–10). New York, NY: ACM.
3. Auer, S., Lehmann, J., & Hellmann, S. (2009). LinkedGeoData: Adding a spatial dimension to the web of data. In A. Bernstein, D. Karger, T. Heath, L. Feigenbaum, D. Maynard, E. Motta, & K. Thirunarayan (Eds.), Proceedings of the 8th International Semantic Web Conference (Vol. 5823, pp. 731–746). Chantilly, VA: Springer Berlin Heidelberg.
4. The Semantic Web
5. Cao, L., Luo, J., Gallagher, A., Jin, X., Han, J., & Huang, T. S. (2010). A worldwide tourism recommendation system based on geotagged web photo. In Proceedings of the IEEE International Conference on Acoustics Speech and Signal Processing (pp. 2274–2277). Dallas, TX: IEEE.
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