Abstract
Location-based services like reminders, electronic graffiti, and tourist guides normally require a custom, location-sensitive database that must be custom-tailored for the application at hand. This deployment cost reduces the initial appeal of such services. However, there is much location-tagged data already available on the Web which can be easily used to create compelling location-aware applications with almost no deployment cost. Such tagged data can be used directly in applications as well as to provide evidence in models of activity. We describe three applications that take advantage of existing Web data combined with location measurements from a GPS receiver. The first application, “Pinpoint Search”, finds web pages of nearby places based on GPS coordinates, queries from a Web mapping service, and general Web searches. The second application, “XRay”, uses the mapping service to find businesses in a building by pointing a GPS-equipped electronic compass at the building. The third application is called “Travelogue”, and it builds a map and clickable points of interest to help automatically annotate a trip based on GPS coordinates. Finally, we discuss the use of Web-based data as rich sources of evidence for probabilistic models of a user’s activity, including a means for interpreting the explanation for the loss of Web signals as users enter structures.
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
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Marmasse, N.: comMotion: A Context-Aware Communication System. In: CHI 1999 (1999)
Pascoe, J.: The Stick-e Note Architecture: Extending the Interface Beyond the User. In: IUI 1997, Orlando, Florida, USA (1997)
Abowd, G.D., et al.: Cyberguide: A Mobile Context-Aware Tour Guide. ACM Wireless Networks 3, 421–433 (1997)
Smith, M., Davenport, D., Hwa, H.: AURA: A mobile platform for object and location annotation. In: Dey, A.K., Schmidt, A., McCarthy, J.F. (eds.) UbiComp 2003. LNCS, vol. 2864, Springer, Heidelberg (2003)
Feiner, S., et al.: A touring machine: Prototyping 3D mobile augmented reality systems for exploring the urban environment. In: First IEEE Int. Symp. on Wearable Computers (ISWC 1997), Cambridge, MA, USA (1997)
Kutulakos, K.N., Vallino, J.R.: Calibration-Free Augmented Reality. IEEE Transactions on Visualization and Computer Graphics 4(4), 1–20 (1998)
Griswold, W.G., et al.: ActiveCampus - Sustaining Educational Communities through Mobile Technology. University of California at San Diego, San Diego (2002)
Hariharan, R., Toyama, K.: Project lachesis: Parsing and modeling location histories. In: Egenhofer, M.J., Freksa, C., Miller, H.J. (eds.) GIScience 2004. LNCS, vol. 3234, pp. 106–124. Springer, Heidelberg (2004)
Krumm, J., Hariharan, R.: TempIO: Inside/Outside Classification with Temperature. In: Second International Workshop on Man-Machine Symbiotic Systems, Kyoto, Japan (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hariharan, R., Krumm, J., Horvitz, E. (2005). Web-Enhanced GPS. In: Strang, T., Linnhoff-Popien, C. (eds) Location- and Context-Awareness. LoCA 2005. Lecture Notes in Computer Science, vol 3479. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11426646_9
Download citation
DOI: https://doi.org/10.1007/11426646_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25896-4
Online ISBN: 978-3-540-32042-5
eBook Packages: Computer ScienceComputer Science (R0)