Context-Aware Knowledge Querying in a Networked Enterprise

  • Cristiana Bolchini
  • Elisa Quintarelli
  • Fabio A. Schreiber
  • Maria Teresa Baldassarre
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7200)

Abstract

In today’s knowledge-driven society, the increasing amount of heterogeneous information, available through a variety of information channels, has made it difficult for users to find the right information at the right time and at the right level of detail. This chapter presents the exploitation of context-awareness in order to reduce the plethora of information that,within the networked enterprise scenario, may confuse and overwhelm the users in need of high-quality information coming from the several available and heterogeneous information sources.

Keywords

Wireless Sensor Network Resource Description Framework Application Scenario Relevant Area Context Element 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Baldauf, M., Dustdar, S., Rosenberg, F.: A survey on context-aware systems. Int. J. Ad Hoc Ubiquitous Computing 2(4), 263–277 (2007)CrossRefGoogle Scholar
  2. 2.
    Bolchini, C., Curino, C., Quintarelli, E., Schreiber, F.A., Tanca, L.: Context information for knowledge reshaping. Intl. Journal of Web Engineering and Technology 5(1), 88–103 (2009)CrossRefGoogle Scholar
  3. 3.
    Bolchini, C., Curino, C., Schreiber, F.A., Tanca, L.: Context integration for mobile data tailoring. In: Proc. 7th IEEE/ACM Int. Conf. on Mobile Data Management, p. 5 (2006)Google Scholar
  4. 4.
    Bolchini, C., Curino, C.A., Quintarelli, E., Schreiber, F.A., Tanca, L.: A data-oriented survey of context models. SIGMOD Record 36(4), 19–26 (2007)CrossRefGoogle Scholar
  5. 5.
    Bolchini, C., Quintarelli, E.: Context-Driven Data Filtering: A Methodology. In: Meersman, R., Tari, Z., Herrero, P. (eds.) OTM 2006 Workshops, Part II. LNCS, vol. 4278, pp. 1986–1995. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  6. 6.
    Bolchini, C., Quintarelli, E., Rossato, R.: Relational Data Tailoring Through View Composition. In: Parent, C., Schewe, K.-D., Storey, V.C., Thalheim, B. (eds.) ER 2007. LNCS, vol. 4801, pp. 149–164. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  7. 7.
    Bolchini, C., Schreiber, F.A., Tanca, L.: A methodology for very small database design. Information Systems 32(1), 61–82 (2007)CrossRefGoogle Scholar
  8. 8.
    Carroll, J.J., Klyne, G.: Resource description framework (RDF): Concepts and abstract syntax, W3C recommendation. Technical report, W3C (2004)Google Scholar
  9. 9.
    De Virgilio, R., Torlone, R., Houben, G.-J.: A rule-based approach to content delivery adaptation in web information systems. In: Proc. 7th IEEE/ACM Int. Conf. on Mobile Data Management, p. 21 (2006)Google Scholar
  10. 10.
    Dey, A.K., Sohn, T., Streng, S., Kodama, J.: iCAP: Interactive Prototyping of Context-Aware Applications. In: Fishkin, K.P., Schiele, B., Nixon, P., Quigley, A. (eds.) PERVASIVE 2006. LNCS, vol. 3968, pp. 254–271. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  11. 11.
    Franconi, E.: Conceptual Schemas and Ontologies for Database Access: Myths and Challenges. In: Parent, C., Schewe, K.-D., Storey, V.C., Thalheim, B. (eds.) ER 2007. LNCS, vol. 4801, p. 22. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  12. 12.
    Petrelli, D., Not, E., Strapparava, C., Stock, O., Zancanaro, M.: Modeling context is like taking pictures. In: Proc. of the Workshop ”The What, Who, Where, When, Why and How of Context-Awareness” in CHI 2000 (2000)Google Scholar
  13. 13.
    Prud’hommeaux, E., Seaborne, A.: SPARQL query language for RDF. Technical report, W3C (2007)Google Scholar
  14. 14.
    Raverdy, P.-G., Riva, O., de La Chapelle, A., Chibout, R., Issarny, V.: Efficient context-aware service discovery in multi-protocol pervasive environments. In: Proc. Intl Conf. on Mobile Data Management, p. 3 (2006)Google Scholar
  15. 15.
    Roussos, Y., Stavrakas, Y., Pavlaki, V.: Towards a context-aware relational model. In: Proc. Context Representation and Reasoning - CRR 2005, pp. 7.1–7.12 (2005)Google Scholar
  16. 16.
    Schreiber, F.A.: Automatic generation of sensor queries in a wsn for environmental monitoring. In: Proc. 4th Int. ISCRAM Conference, Delft (NL), pp. 245–254 (2007)Google Scholar
  17. 17.
    Schreiber, G., Dean, M.: OWL web ontology language reference, W3C recommendation. Technical report, W3C (2004)Google Scholar
  18. 18.
    Shen, X., Tan, B., Zhai, C.: Context-sensitive information retrieval using implicit feed-back. In: Proc. Int. Conf. on Research and Development in Information Retrieval, pp. 43–50 (2005)Google Scholar
  19. 19.
    Stefanidis, K., Pitoura, E., Vassiliadis, P.: A context-aware preference database system. Journal of Pervasive Computing & Comm. 3(4), 439–460 (2007)CrossRefGoogle Scholar
  20. 20.
    Strang, T., Linnhoff-Popien, C.: A context modeling survey. In: Workshop on Advanced Context Modelling, Reasoning and Management at UbiComp (2004)Google Scholar
  21. 21.
    Tanca, L.: Context-based data tailoring for mobile users. In: Proc. BTW 2007, pp. 282–295 (2007)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Cristiana Bolchini
    • 1
  • Elisa Quintarelli
    • 1
  • Fabio A. Schreiber
    • 1
  • Maria Teresa Baldassarre
    • 2
  1. 1.Dipartimento di Elettronica e InformazionePolitecnico di MilanoMilanoItaly
  2. 2.Dipartimento di InformaticaUniversità degli Studi di Bari ”‘Aldo Moro’”Italy

Personalised recommendations