Skip to main content

Extraction of Tourism Objects from Blogs

  • Chapter
  • First Online:
Tourism Informatics

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 90))

Abstract

Some tourists will write their activities to blogs. Such individual experiences are interesting compared with the official information by tourist agents. Therefore, extracting tourist’s activities from blogs are meaningful. We have attempted to extract tourism objects from tourists’ behavior statistically. In this paper, the objects of the behavior were extracted using dependency analysis, and tourism objects were specified by evaluation with regionality.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Esparcia, S., Sanchez-Anguix, V., Argente, E., Garcia-Fornes, A., Julian, V.: Integrating information extraction agents into a tourism recommender system. In: Proceedings of the HAIS2010. Springer LNAI, vol. 6077, pp. 193–200 (2010)

    Google Scholar 

  2. Ruiz-Martinez, J.M., Castellanos-Nieves, D., Valencia-Garcia, R., Fernandez-Brieis, J.T., Garcia-Sanchez, F., Vivancos-Vincente, P.J., Castejon-Garrido, J.S., Camon, J.B., Martinez-Bejar, R.: Accessing Touristic Knowledge Bases Through a Natural Language Interface. Springer LNAI, vol. 5465, pp. 147–160 (2009)

    Google Scholar 

  3. Saito, H., Ohuchi, A.: A study of visualizing method of WWW documents to construct the concept on sightseeing information. IEICE Technical Report DE2001-07, pp. 261–267 (2001) (in Japanese)

    Google Scholar 

  4. Kinjo, I., Ohuchi, A.: Web data analysis for Hokkaido tourism information. IEICE Technical Report, DE2001-07, pp. 99–104 (2001) (in Japanese)

    Google Scholar 

  5. Hao, Q., Cai, R., Wang, Ch., Xiao, R., Yang, J.-M., Pang, Y., Zhang, L.: Equip tourist with knowledge mined from travelogues. In: Proceedings of WWW2010, pp. 401–410 (2010)

    Google Scholar 

  6. Ozaku, H., Utiyama, M., Kidode, M.: An event information retrieval method using features of keyword appearance in newspaper corpora. Trans. JSAI AI19, 225–233 (2004). (in Japanese)

    Google Scholar 

  7. Ishino, A., Nanba, H., Gaguma, H., Ozaki, T., Kobayashi, D., Takezawa, T.: Automatic compilation of travel information from automatically identified travel blogs. IEICE Technical Report, WI2-2009, pp. 19–23 (2009) (in Japanese)

    Google Scholar 

  8. Okumura, H., Tokuhisa, M., Murakami, J., Murata, M.: Trial of extracting and classifying strong points in sightseeing area. IEICE Tech. Rep. Nat. Lang. Underst. Models Commun. 110(245), 25–30 (2010) (in Japanese)

    Google Scholar 

  9. Wu, X., Hirokawa, S., Yin, C., Nakatoh, T., Tabata, Y.: Extraction and comparison of tourism information on the web. In: Proceedings of AROB2011 (2011)

    Google Scholar 

  10. Hirokawa, S., Yin, C., Hashimoto, K., Takeuchi, K.: Search and analysis of gourmet blogs with a particular reference to onomatopoeia. ICIC Express Lett. 5(8(B)), 2971–2976 (2011)

    Google Scholar 

  11. Yin, C., Nakatoh, T., Hirokawa, S., Wu, X., Zeng, J.: A proposal of search engine XYZ for tourism events. In: Second IITA International Joint Conference on Artificial Intelligence (2010)

    Google Scholar 

  12. Yin, C., Wu, X., Hirokawa, S., Nakatoh, T.: A proposal of ‘TOIEBA’ search engine for tourism event. IEICE Tech. Rep. Artif. Intell. Knowl. Based Process. 110(301), 43–47 (2010) (in Japanese)

    Google Scholar 

  13. Aizawa, A., Nakawatase, H.: Automatic extraction of synonyms with sample phrases using dependency analysis of text and its application to large-scale corpora. In: The 20th Annual Conference of the Japanese Society for Artificial Intelligence, 2E1-5 (2006) (in Japanese)

    Google Scholar 

  14. Singhal, A., Buckley, C., Mitra, M.: Pivoted document length normalization. Proc. SIGIR 96, 2129 (1996)

    MATH  Google Scholar 

  15. Nakatoh, T., Yin, C., Hirokawa, S.: Characteristic grammatical context of tourism information. ICIC Express Lett. 6(3), 753–758 (2012)

    Google Scholar 

  16. Nakatoh, T., Hirokawa, S.: Extraction of tourist behavior contexts from blog by verbs and their objects. In: Proceedings of IIAI International Conference on Advanced Applied Informatics (AAI2012) (2012)

    Google Scholar 

  17. Nakatoh, T., Hirokawa, S.: Evaluation of tourism resources extraction based on Japanese dependency analysis. In: Proceedings of IIAI International Conference on Advanced Applied Informatics (AAI2013) (2013)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tetsuya Nakatoh .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Nakatoh, T., Hirokawa, S. (2015). Extraction of Tourism Objects from Blogs. In: Matsuo, T., Hashimoto, K., Iwamoto, H. (eds) Tourism Informatics. Intelligent Systems Reference Library, vol 90. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47227-9_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-47227-9_4

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-47226-2

  • Online ISBN: 978-3-662-47227-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics