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Information Extraction for a Tourist Recommender System

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We will present the information extraction algorithms for a semantic personalised tourist recommender system Sightsplanner. The main challenges: information is spread across various information sources, it is usually stored in proprietary formats and is available in different languages in varying degrees of accuracy. We will address the mentioned challenges and describe our realization and ideas how to deal with each of them: scraping and extracting keywords from different web portals with different languages, dealing with missing multilingual data and identifying the same objects from different sources.


  • recommender system
  • information retrieval
  • entity disambiguation

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  • Alves, A., Pereira, F., Biderman, A. & Ratti, C. (2009). Place Enrichment by Mining the Web. In M. Tscheligi, B. de Ruyter et al. (Eds.), Ambient Intelligence, 5859: 66–77. Berlin: Springer.

    CrossRef  Google Scholar 

  • Bleiholder, J. & Naumann, F. (2008). Data Fusion. ACM Computer Surveys 41(1): 1–41.

    CrossRef  Google Scholar 

  • Luberg, A., Tammet, T. & Järv, P. (2011). Smart City: A Rule-based Tourist Recommendation. In Information and Communication Technologies in Tourism 2011. New York: Springer.

    Google Scholar 

  • Tré, G. D. & Bronselaer, A. (2010). Consistently handling geographical user data: Merging of coreferent POIs. Fuzzy Information Processing Society (NAFIPS), 2010 Annual Meeting of the North American 1(1): 117–122. New York: IEEE.

    Google Scholar 

  • Zheng, Y., Fen, X., Xie, X. et al. (2010). Detecting nearly duplicated records in location datasets. Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems 1(1): 135–143. New York: ACM.

    Google Scholar 

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© 2012 Springer-Verlag/Wien

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Luberg, A., Järv, P., Tammet, T. (2012). Information Extraction for a Tourist Recommender System. In: Fuchs, M., Ricci, F., Cantoni, L. (eds) Information and Communication Technologies in Tourism 2012. Springer, Vienna.

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  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-7091-1141-3

  • Online ISBN: 978-3-7091-1142-0