Abstract
One of the problems in the current commercial LBS (Location-based Service) is weak functionality for users to use their own generated content on the LBS. This paper proposes a new framework of Personal LBS which solves the problem by using blog as both a description language for the extension and a simple CMS (Content Management System). A blog entry is a kind of story. Better a story is, more easily and efficiently readers can understand it. One of the most important LBS applications is a location-based guided tour which can be created as geotagged stories on a blog. The framework allows the geotagged stories to be moved from a blog to a local software application on mobile devices as story packages for publishing, reproducing and exchanging on LBS. We also discuss the capability and importance of personal LBS for location-based communication among ourselves, families, friends, groups and all users beyond time.
Chapter PDF
Similar content being viewed by others
Keywords
References
Arikawa, M., Konomi, S., Ohnishi, K.: NAVITIME: Supporting Pedestrian Navigation in the Real World. IEEE Pervasive Computing, Special Issue on Urban Computing 6(3), 21–29 (2007)
Nardi, B.A., Schiano, D.J., Gumbrecht, M., Swartz, L.: Why We Blog. Communications of the ACM 47(9), 41–46 (2004)
Foursquare, http://foursquare.com/
Facebook, http://www.facebook.com/
Garmin Connect, http://connect.garmin.com/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kaji, H., Arikawa, M. (2013). Blog Based Personal LBS. In: Streitz, N., Stephanidis, C. (eds) Distributed, Ambient, and Pervasive Interactions. DAPI 2013. Lecture Notes in Computer Science, vol 8028. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39351-8_14
Download citation
DOI: https://doi.org/10.1007/978-3-642-39351-8_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39350-1
Online ISBN: 978-3-642-39351-8
eBook Packages: Computer ScienceComputer Science (R0)