Abstract
It is very convenient to carry smartphones and take photos on the trip. With Apps installed in smartphones, users can easily share photos to friends on social networks. Huge amount of interesting photos are therefore accumulated through smartphones without facilities to manage these photos. We propose an integrated system that provides a mobile App for photographing on the trip, a desktop App for synchronizing photos with the web platform for sharing and organizing photos. While photographing, the web service recommends significant tags to photos and gets manual tags, the App transparently accumulates context-information for travel photos. Then, the desktop App facilitates users to collect and choose interesting photos for sharing and storing on the web platform. Finally, the system applies search engine and web mining techniques to extract textual sentences from pages that contain relevant information about photos for writing travel blogs easily and efficiently.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Agrawal R, Imielinski T, Swami A (1993) Mining association rules between sets of items in large databases. In: ACM SIGMOD
Baeza-Yates R (1999) Modern information retrieval. Addison Wesley, New York
Bressan M, Csurka G, Hoppenot Y, Renders JM (2008) Travel Blog Assistant System (TBAS): an example scenario of how to enrich text with images and images with text using online multimedia repositories. In: VISAPP workshop on metadata mining for image understanding, 22 January, Funchal, Madeira, Portugal
Cardie C (1997) Empirical methods in information extraction. AI Mag 18(4):5–79
Chien LF (1997) PAT-tree-based keyword extraction for Chinese information retrieval. In: ACM SIGIR
DOM, Wikipedia, http://en.wikipedia.org/wiki/Document_Object_Model
EXIF, Wikipedia, http://en.wikipedia.org/wiki/Exchangeable_image_file_format
Flickr, http://www.flickr.com/
Frakes WB, Baeza-Yates R (1992) Information retrieval—data structures and algorithms. Prentice Hall, Upper Saddle River
Freitag D (1998) Machine learning for information extraction. PhD Dissertation of Computer Science Department, Carnegie Mellon University, Pittsburgh, PA
Hsu CN, Dung MT (1998) Generating finite-state transducers for semi-structured data extraction from the web. Inform Syst 23(8):521–538
Kushmerick N, Weld D, Doorenbos R (1997) Wrapper induction for information extraction. In: Proceedings of the 15th international joint conference on artificial intelligence
Li HZ, Hua XS (2010) Melog—Mobile experience sharing through automatic multimedia blogging. In: ACM multimedia workshop on mobile cloud media computing, pp 19—24
Wang JY, Chang YL, Zeng WS, Lin SH (2012) Recommend significant tags to travel photos based on web mining. In: 3rd international conference on mobile, ubiquitous, and intelligent computing, pp 84–89
Wang K, Liu H (2000) Discovering structural association of semistructured data. IEEE Trans Knowl Data Eng 12(3):353–371
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media Dordrecht
About this paper
Cite this paper
Chen, YJ., Zeng, WS., Lin, SH. (2013). Automatic Travel Blog Generator Based on Intelligent Web Platform and Mobile Applications. In: Park, J., Barolli, L., Xhafa, F., Jeong, HY. (eds) Information Technology Convergence. Lecture Notes in Electrical Engineering, vol 253. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6996-0_37
Download citation
DOI: https://doi.org/10.1007/978-94-007-6996-0_37
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-6995-3
Online ISBN: 978-94-007-6996-0
eBook Packages: EngineeringEngineering (R0)