Geographic relevance in mobile services

ABSTRACT

In this position paper we describe the concept of geographic relevance and its potential for mobile location-based services employing the mobile Internet. We argue that existing LBS have a too limited concept of location and its application for filtering geographic content. We propose an approach for geographic relevance that extends LBS and location-aware web applications and aims at better supporting mobile users' decision-making based on geographic information. After a short description of an ongoing project we discuss the different roles of location and the different conceptions of space that can be involved in assessing and representing geographic relevance. Finally we provide a few concluding statements that aim at stimulating a cross-disciplinary discussion about location and its importance for relevance.

REFERENCES

• 1: Erica Cosijn , Peter Ingwersen, Dimensions of relevance, Information Processing and Management: an International Journal, v.36 n.4, p.533-550, July 2000 [doi>10.1016/S0306-4573(99)00072-2]
• 2: Linda Schamber , Michael Eisenberg , Michael S. Nilan, A re-examination of relevance: toward a dynamic, situational definition, Information Processing and Management: an International Journal, v.26 n.6, p.755-776, 1990 [doi>10.1016/0306-4573(90)90050-C]
• 3: Dan Sperber , Deirdre Wilson, Relevance: communication and cognition, Harvard University Press, Cambridge, MA, 1986
• 4: Saracevic, T. Relevance reconsidered. City, 1996.
• 5: Purves, R. and Jones, C. Geographic Information Retrieval (GIR). Computers, Environment and Urban Systems, 30, 4 2006), 375--377.
• 6: Hobona, G., James, P. and Fairbirn, D. Multidimensional visualisation of degrees of relevance of geographic data. International Journal of Geographical Information Science, 20, 5 2006), 469--490.
• 7: Raper, J. Geographic relevance. Journal of Documentation, 63(6 2007).
• 8: David Mountain , Andrew Macfarlane, Geographic information retrieval in a mobile environment: evaluating the needs of mobile individuals, Journal of Information Science, v.33 n.5, p.515-530, October 2007 [doi>10.1177/0165551506075333]
• 9: Raubal, M., Miller, H. and Bridwell, S. User-Centred Time Geography For Location-Based Services. Geografiska Annaler B, 86, 4 2004), 245--265.
• 10: De Sabbata, S., Mizzaro, S. and Vassena, L. Where do you Roll Today? Trajectory Prediction by SpaceRank and Physics Models. Springer, Berlin; Heidelberg, 2009.
• 11: Tobler, W. A computer movie simulating urban growth in the Detroit region. Economic Geography, 46, 2 1970), 234--240.
• 12: Mountain, D. Exploring mobile trajectories: An investigation of individual spatial behaviour and geographic filters for information retrieval. PhD Thesis, City University, Department of Information Science, London, UK., London, 2005.
• 13: Reichenbacher, T. Mobile Cartography - Adaptive Visualisation of Geographic Information on Mobile Devices. Verlag Dr. Hut, München, 2004.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Information filtering

General Terms:
Human Factors, Theory

Keywords:
adaptive geoservices, context-awareness, geographic relevance, location-based services