Skip to main content

Automatic Compilation of an Online Travel Portal from Automatically Extracted Travel Blog Entries

  • Conference paper
  • 3153 Accesses

Abstract

For travelers who plan to visit a particular tourist spot, information about it is required. In this paper, we propose a method for extracting and organizing appropriate information from weblogs (blogs). Recently, increased numbers of travelers have been writing of their travel experiences via blogs. We call these travel blog entries, and they contain much useful travel information. For example, some bloggers introduce useful web sites for a tourist spot, while others report on transportation between tourist spots. Here, we extract hyperlinks of web sites for tourist spots from travel blog entries and organize them via automatic classification. We also extract transportation information automatically from travel blog entries. To investigate the effectiveness of our method, we conducted experiments. For the extraction of transportation information, we obtained an 80.3% for Precision. For the classification of hyperlinks, we obtained a high Precision. Finally, we constructed a prototype system, which provides information about (1) transportation between tourist spots and (2) useful web sites for tourist spots.

This is a preview of subscription content, log in via an institution.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Nanba, H., Taguma, H., Ozaki, T., Kobayashi, D., Ishino, A. & Takezawa, T. (2009). Automatic Compilation of Travel Information from Automatically Identified Travel Blogs. Proceedings of the Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and the 4th International Joint Conference on Natural Language Processing, Short Paper: 205–208.

    Google Scholar 

  • Gey, F. C., Larson, R. R., Sanderson, M., Joho, H., Clough, P. & Petras, V. (2005). GeoCLEF: The CLEF 2005 Cross-Language Geographic Information Retrieval Track Overview. Lecture Notes in Computer Science, LNCS4022: 908–919.

    Google Scholar 

  • Davidov, D. (2009). Geo-mining: Discovery of Road and Transport Networks Using Directional Patterns. Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: 267–175.

    Google Scholar 

  • Kale, A., Karandikar, A., Kolari, P., Java, A., Finin, T. & Joshi, A. (2007). Modeling Trust and Influence in the Blogosphere Using Link Polarity. International Conference on Weblogs and Social Media.

    Google Scholar 

  • Martineau, J. & Hurst, M. (2008). Blog Link Classification. Proceedings of International Conference on Weblogs and Social Media.

    Google Scholar 

  • Lafferty, J., McCallum, A. & Pereira, F. (2001). Conditional Random Field: Probabilistic Models for Segmenting and Labeling Sequence Data. Proceedings of the I8th Conference on Machine Learning: 282–289.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag/Wien

About this paper

Cite this paper

Ishino, A., Nanba, H., Takezawa, T. (2011). Automatic Compilation of an Online Travel Portal from Automatically Extracted Travel Blog Entries. In: Law, R., Fuchs, M., Ricci, F. (eds) Information and Communication Technologies in Tourism 2011. Springer, Vienna. https://doi.org/10.1007/978-3-7091-0503-0_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-7091-0503-0_10

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-7091-0502-3

  • Online ISBN: 978-3-7091-0503-0

Publish with us

Policies and ethics