Abstract
In Personalized Networked Spaces (PNets), people and devices are integrated with the environment and demand fluid interactions to enable connectivity to information, services, and people. PNet applications exhibit significant spatiotemporal demands in which connectivity to resources and information is personalized and focused on the here and now. We introduce Gander, a personalized search engine for the here and now. We examine how search expectations are affected when users and applications interact directly with the physical environment. We define a formal conceptual model of search in PNets that provides a clear definition of the framework and ultimately enables reasoning about relationships between search processing and the relevance of results. We assess our model by evaluating sophisticated Gander queries in a simulated PNet.
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
Ahlers, D., Boll, S.: Beyond position–spatial context for mobile information retrieval systems. In: Proc. of WPNC, pp. 129–134 (2009)
Assa, J., Cohen-Or, D., Milo, T.: Displaying data in multidimensional relevance space with 2d visualization maps. In: Proc. of Visualization, pp. 127–134 (1997)
Atzori, L., Iera, A., Morabito, G.: The internet of things: A survey. Computer Networks 54(15), 2787–2805 (2010)
Bansal, M., Fernandez-Baca, D.: Computing distances between partial rnakings. Information Processing Letters 109(4), 238–241 (2008)
Beard, K., Sharma, V.: Multidimensional ranking for data in digital spatial libraries. Int’l. J. on Digital Libraries, 153–160 (1997)
Bettini, C., Brdiczka, O., Henricksen, K., Indulska, J., Nicklas, D., Ranganathan, A., Riboni, D.: A survey of context modelling and reasoning techniques. Pervasive and Mobile Computing 6(2), 161–180 (2010)
Bolliger, P., Ostermaier, B.: Koubachi: A mobile phone widget to enable affective communication with indoor plants. In: Proc. of MIRW, pp. 63–66 (2007)
Chen, A.: Context-Aware Collaborative Filtering System: Predicting the User’s Preference in the Ubiquitous Computing Environment. In: Strang, T., Linnhoff-Popien, C. (eds.) LoCA 2005. LNCS, vol. 3479, pp. 244–253. Springer, Heidelberg (2005)
de Almeida, V., Guting, R., Behr, T.: Querying moving objects in secondo. In: Proc. of MDM, p. 47 (May 2006)
Djafri, N., Fernandes, A.A., Paton, N.W., Griffiths, T.: Spatio-temporal evolution: querying patterns of change in databases. In: Proc. of ACMGIS, pp. 35–41 (2002)
Egenhofer, M., Franzosa, R.: Point-set topological relations. Int’l. J. of Geographical Info. Sys. 5(2), 161–174 (1991)
Elahi, B.M., Römer, K., Ostermaier, B., Fahrmair, M., Kellerer, W.: Sensor ranking: A primitive for efficient content-based sensor search. In: Proc. of IPSN, pp. 217–228 (2009)
Erwig, M., Schneider, M.: Developments in spatio-temporal query languages. In: Proc. of DEXA, pp. 441–449 (1999)
Erwig, M., Schneider, M.: Spatio-temporal predicates. IEEE Trans. on Knowledge and Data Eng. 14, 881–901 (2002)
Güting, R.H., Böhlen, M.H., Erwig, M., Jensen, C.S., Lorentzos, N., Nardelli, E., Schneider, M., Viqueira, J.R.R.: Chapter 4: Spatio-temporal Models and Languages: An Approach Based on Data Types. In: Sellis, T.K., Koubarakis, M., Frank, A., Grumbach, S., Güting, R.H., Jensen, C., Lorentzos, N.A., Manolopoulos, Y., Nardelli, E., Pernici, B., Theodoulidis, B., Tryfona, N., Schek, H.-J., Scholl, M.O. (eds.) Spatio-Temporal Databases. LNCS, vol. 2520, pp. 117–176. Springer, Heidelberg (2003)
Järvelin, K., Kekäläinen, J.: Cumulated gain-based evaluation of IR techniques. ACM Trans. on Info. Sys. 20, 422–446 (2002)
Jones, Q., Grandhi, S., Karam, S., Whittaker, S., Zhou, C., Terveen, L.: Geographic place and community information preferences. CSCW 17(2-3), 137–167 (2008)
Kortuem, G., Kawsar, F., Fitton, D., Sundramoorthy, V.: Smart objects as building blocks for the internet of things. IEEE Internet Computing 14(1), 44–51 (2010)
Kreveld, M., Reinbacher, I., Arampatzis, A., Zwol, R.: Multi-dimensional scattered ranking methods for geographic information retrieval. GeoInform 9, 61–84 (2005)
Lamming, M., Newman, W.: Activity-based information retrieval: Technology in support of personal memory. In: Proc. of IFIP World Computer Congress on Personal Computers and Intelligent Systems – Information Processing (1992)
Disney World Lines App (Touring Plans), http://www.touringplans.com/walt-disney-world-lines
Manning, C.D., Raghavan, P., Schutze, H.: Intro. to Information Retrieval (2009)
Mountain, D., MacFarlane, A.: Geographic information retrieval in a mobile environment: evaluating the needs of mobile individuals. J. of Info. Science 33, 515–530 (2007)
Ostermaier, B., Römer, K., Mattern, F., Fahrmair, M., Kellerer, W.: A real-time search engine for the web of things. In: Proc. of IOT, pp. 1–8 (2010)
Rajamani, V., Julien, C., Payton, J., Roman, G.-C.: Inquiry and Introspection for Non-deterministic Queries in Mobile Networks. In: Chechik, M., Wirsing, M. (eds.) FASE 2009. LNCS, vol. 5503, pp. 401–416. Springer, Heidelberg (2009)
Reichenbacher, T.: Geographic relevance in mobile services. In: Proc. of LocWeb (2009)
Si, H., Kawahara, Y., Kurasawa, H., Morikawa, H., Aoyama, T.: A context-aware collaborative filtering algorithm for real world oriented content delivery service. In: Proc. of Metapolis and Urban Life Workshop (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Michel, J., Julien, C., Payton, J., Roman, GC. (2012). Gander: Personalizing Search of the Here and Now. In: Puiatti, A., Gu, T. (eds) Mobile and Ubiquitous Systems: Computing, Networking, and Services. MobiQuitous 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30973-1_8
Download citation
DOI: https://doi.org/10.1007/978-3-642-30973-1_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30972-4
Online ISBN: 978-3-642-30973-1
eBook Packages: Computer ScienceComputer Science (R0)