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Mining graphs from travel blogs: a review in the context of tour planning

Author

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  • Erum Haris

    (Universiti Sains Malaysia)

  • Keng Hoon Gan

    (Universiti Sains Malaysia)

Abstract

The tremendous expansion of user-generated content has made travel planning a tedious activity. The information overload disorients some travel knowledge seekers in choosing preferred places and visiting them in an appropriate order. Hence, a trip planning system mainly deals with collecting popular points of interests (POIs) in a region and proposing routes accordingly. In contrast to the various data sources of tour planning, travel blogs have been paid less attention. The massive text contained in these narratives manifests bloggers’ interactions with places that have been modeled with different graph representations. This review concentrates on the problem of extracting this graph-structured information from travel blogs with an explicit focus on POI graph, the fundamental trip planning structure that facilitates travel decision making. The study first discusses an analysis of travel blog mining and its dominant research themes, based on which three distinct categories of graphs are proposed. Each category of graphs is further explored using practical cases followed with a comparative analysis of existing works including their techniques, dataset and evaluation metrics. With the underlying idea of enhancing travel planning process with better POI graphs, the existing literature is critically assessed at the end along with a number of promising directions for future research.

Suggested Citation

  • Erum Haris & Keng Hoon Gan, 2017. "Mining graphs from travel blogs: a review in the context of tour planning," Information Technology & Tourism, Springer, vol. 17(4), pages 429-453, December.
    • Handle: RePEc:spr:infott:v:17:y:2017:i:4:d:10.1007_s40558-017-0095-2
    DOI: 10.1007/s40558-017-0095-2
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    References listed on IDEAS

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    1. Rosanna Leung & Huy Quan Vu & Jia Rong, 0. "Understanding tourists’ photo sharing and visit pattern at non-first tier attractions via geotagged photos," Information Technology & Tourism, Springer, vol. 0, pages 1-20.
    2. Aitor García-Pablos & Montse Cuadros & Maria Teresa Linaza, 2016. "Automatic analysis of textual hotel reviews," Information Technology & Tourism, Springer, vol. 16(1), pages 45-69, March.
    3. Yu Liu & Zhengwei Sui & Chaogui Kang & Yong Gao, 2014. "Uncovering Patterns of Inter-Urban Trip and Spatial Interaction from Social Media Check-In Data," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-11, January.
    4. Rosanna Leung & Huy Quan Vu & Jia Rong, 2017. "Understanding tourists’ photo sharing and visit pattern at non-first tier attractions via geotagged photos," Information Technology & Tourism, Springer, vol. 17(1), pages 55-74, March.
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    Cited by:

    1. Karol Król & Dariusz Zdonek & Wojciech Sroka, 2024. "Functionality Assessment Checklist for Evaluating Geoportals Useful in Planning Sustainable Tourism," Sustainability, MDPI, vol. 16(12), pages 1-16, June.

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