Advertisement

Personalizing Location Information through Rule-Based Policies

  • Iosif Viktoratos
  • Athanasios Tsadiras
  • Nick Bassiliades
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7438)

Abstract

In this paper, the idea of providing personalized, location-based information services via rule-based policies is demonstrated. After a short introduction about related technologies and approaches, an innovative Personalized Location Information System (PLIS) is designed and implemented. PLIS delivers personalized and contextualized information to users according to rule-based policies. More specifically, many categories of points of interest (e.g. shops, restaurants) have rule-based policies to expose and deploy their marketing strategy on special offers, discounts, etc. PLIS evaluates these rules on-the-fly and delivers personalized information according to the user’s context and the corresponding rules fired within this context. After discussing the design and the implementation of PLIS, illustrative examples of PLIS functionality are presented. As a result, PLIS proves that combining contextual data and rules can lead to powerful personalized information services.

Keywords

RuleML Rules Location Based Services Context Points of Interest Jess 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Hu, Y.-J., Yeh, C.-L., Laun, W.: Challenges for Rule Systems on the Web. In: Governatori, G., Hall, J., Paschke, A. (eds.) RuleML 2009. LNCS, vol. 5858, pp. 4–16. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  2. 2.
    Michael, K., Harold, B. (eds.): RIF Overview, http://www.w3.org/2005/rules/wiki/Overview
  3. 3.
    Boley, H., Tabet, S., Wagner, G.: Design Rationale of RuleML: A Markup Language for Semantic Web Rules. In: Proc. SWWS 2001, Stanford (July/August 2001)Google Scholar
  4. 4.
    Li, J.: Rule-Based Social Networking for Expert Finding. A thesis submitted in partial fulfillment of the requirements for the degree of Master of Computer Scienc In The Graduate Academic Unit of Computer Science (2004)Google Scholar
  5. 5.
    Mei, J., Bontas, P.: Reasoning Paradigms for OWL Ontologies. Techn. Report, Germany (2004)Google Scholar
  6. 6.
    Eberhart, A.: SmartGuide: An intelligent Information System basing on Semantic Web Standards. In: Proc. of the International Conference on Artificial Intelligence (July 2002)Google Scholar
  7. 7.
    Etter, R., Costa, P.D., Broens, T.: A rule-based approach towards context-aware user notification services. In: Proceedings of the 2006 ACS/IEEE International Conference on Pervasive Services (PERSER 2006), Washington, DC, USA, pp. 281–284 (2006)Google Scholar
  8. 8.
    Liang, S., Fodor, P., Wan, H., Kifer, M.: OpenRuleBench: An Analysis of the Performance of Rule Engines. In: WWW 2009, Madrid (2009)Google Scholar
  9. 9.
    Friedman-Hill, E.: Jess in Action. Rule-Based Systems in Java, pp. 32–33. Manning Publications (2003) ISBN-10: 1930110898Google Scholar
  10. 10.
    Steiniger, S., Moritz, N., Alistair, E.: Foundation of Location Based Services. Lecture Notes on LBS (2006)Google Scholar
  11. 11.
    Serrano, D., Hervás, R., Bravo, J.: Telemaco: Context-aware System for Tourism Guiding based on Web 3.0 Technology. In: International Workshop on Contextual Computing and Ambient Intelligence in Tourism (2011)Google Scholar
  12. 12.
    Tryfona, N., Pfoser, D.: Data Semantics in Location-Based Services. In: Spaccapietra, S., Zimányi, E. (eds.) Journal on Data Semantics III. LNCS, vol. 3534, pp. 168–195. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  13. 13.
    Ilarri, S., Lllarramendi, A., Mena, E., Sheth, A.: Semantics in Location-Based Services. IEEE Internet Computing 15(6), 10–14 (2011)CrossRefGoogle Scholar
  14. 14.
    Liu, Y., Wilde, E.: Personalized Location-Based Services. In: Proc. of the iConference (2011)Google Scholar
  15. 15.
    Woerndl, W., Groh, G.: Utilizing physical and social context to improve recommender systems. In: Proceedings of the IEEE Workshop on Web Personalization and Recommender Systems (WPRS), International Conference on Web Intelligence, WI 2007 (2007)Google Scholar
  16. 16.
    Bouidghaghen, O., Tamine, L., Boughanem, M.: Context-Aware User’s Interests for Personalizing Mobile Search. In: 12th IEEE International Conference on Mobile Data Management (2011)Google Scholar
  17. 17.
    Hosseini-Pozveh, M., Nematbakhsh, M., Movahhedinia, N.: A multidimensional approach for context-aware recommendation in mobile commerce. (IJCSIS) Int. Journal of Computer Science and Information Security 3(1) (2009)Google Scholar
  18. 18.
    Van Woensel, W., Casteleyn, S., De Troyer, O.: Applying Semantic Web Technology in a Mobile Setting: The Person Matcher. In: Benatallah, B., Casati, F., Kappel, G., Rossi, G. (eds.) ICWE 2010. LNCS, vol. 6189, pp. 506–509. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  19. 19.
    Van Woensel, W., Casteleyn, S., Troyer, O.: A framework for decentralized, context aware mobile applications using semantic web technology. In: Proceedings of the Confederated International Workshops and Posters on the Move to Meaningful Internet Systems, pp. 88–97. Springer (2009)Google Scholar
  20. 20.
    Keßler, C., Raubal, M., Wosniok, C.: Semantic Rules for Context-Aware Geographical Information Retrieval. In: Barnaghi, P., Moessner, K., Presser, M., Meissner, S. (eds.) EuroSSC 2009. LNCS, vol. 5741, pp. 77–92. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  21. 21.
    Hwang, H., Shin, S., Kim, K., Lee, S., Kim, C.-S.: Context-aware System Architecture using Personal Information based on Ontology. In: 5th ACIS International Conference on Software Engineering Research, Management & Applications (2007)Google Scholar
  22. 22.
    Savage, N.S., Baranski, M., Chavez, N.E., Höllerer, T.: I’m feeling LoCo: A Location Based Context Aware Recommendation System. In: Proc. 8th International Symposium on Location-Based Services in Vienna, November 21-23 (2011)Google Scholar
  23. 23.
    Patton, E.W., McGuinness, D.L.: The Mobile Wine Agent: Pairing Wine with the Social Semantic Web. In: 2nd Social Data on the Web Workshop (2009)Google Scholar
  24. 24.
    Choi, O., Kim, K., Wang, D., Yeh, H., Hong, M.: Personalized Mobile Information Retrieval System. International Journal of Advanced Robotic Systems (2012)Google Scholar
  25. 25.
    Bouidghaghen, O., Tamine, L., Boughanem, M.: Personalizing Mobile Web Search for Location Sensitive Queries. In: 12th IEEE Int. Conf. on Mobile Data Management (2011)Google Scholar
  26. 26.
    Arias, M., Cantera, J.M., Vegas, J.: Context-Based Personalization for Mobile Web Search. In: Very Large Data Bases Conference, Auckland, New Zealand, pp. 23–28 (2008)Google Scholar
  27. 27.
    Lassila, O.: Applying Semantic Web in Mobile and Ubiquitous Computing: Will Policy-Awareness Help? In: Semantic Web and Policy Workshop (2005)Google Scholar
  28. 28.
    Heeps, S., Dulay, N., Lupu, E., Schaeffer-Filho, A.E., Sloman, M., Strowes, S., Sventek, J.: The autonomic management of ubiquitous systems meets the semantic web. In: The Second International Workshop on Semantic Web Technology For Ubiquitous and Mobile Applications (2006)Google Scholar
  29. 29.
    Adrian, P., Alexander, K., Harold, B.: A Homogenous Reaction Rule Language for Complex Event Processing. In: 2nd International Workshop on Event Drive Architecture and Event Processing Systems, EDA-PS 2007, Vienna, Austria (2007)Google Scholar
  30. 30.
    Sherman, G.: A Critical Analysis of XSLT Technology for XML Transformation. Senior Technical Report (2007)Google Scholar
  31. 31.
    Kontopoulos, E., Bassiliades, N., Antoniou, G., Seridou, A.: Visual Modeling of Defeasible Logic Rules with Dr-VisMo. International Journal on Artificial Intelligence Tools 17(5), 903–924 (2008)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Iosif Viktoratos
    • 1
  • Athanasios Tsadiras
    • 1
  • Nick Bassiliades
    • 2
  1. 1.Department of EconomicsAristotle University of ThessalonikiThessalonikiGreece
  2. 2.Department of InformaticsAristotle University of ThessalonikiThessalonikiGreece

Personalised recommendations