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Context-Driven Data Filtering: A Methodology

  • Conference paper
On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops (OTM 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4278))

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Abstract

The goal of this paper is the introduction of a methodology for designing context-driven data selection, that is the possibility to tailor the available, usually too rich, data to be held on portable mobile devices, according to context. First of all, we will introduce the concept of context and its model, a data structure that expresses knowledge on the user, the environment and the possible scenarios. We will then focus on the proposed methodology for selecting, by means of such information, the relevant data to be made available on a user device. An application of the proposed methodology is the possibility to select data of interest for portable devices, where computation, memory, power and connectivity resources are limited, and thus, tailororing the available, usually too rich, data according to context is a mandatory task.

This work has been partially supported by MIUR projects Esteem and ARTDECO.

An erratum to this chapter can be found at http://dx.doi.org/10.1007/11915072_109.

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References

  1. Torlone, R., Ciaccia, P.: Management of user preferences in data intensive applications. In: Proc. of the 11th Italian Symp. on Advanced Database Systems, SEBD, pp. 257–268 (2003)

    Google Scholar 

  2. Agrawal, R., Wimmers, E.L.: A framework for expressing and combining preferences. In: Proc. of the 2000 ACM SIGMOD Int. Conference on Management of Data, pp. 297–306. ACM, New York (2000)

    Chapter  Google Scholar 

  3. De Virgilio, R., Torlone, R.: A general methodology for context-aware data access. In: Proc. of the Int. Workshop on Data engineering for wireless and mobile access, pp. 9–15. ACM, New York (2005)

    Google Scholar 

  4. Buchholz, S., Hamann, T., Hübsch, G.: Comprehensive structured context profiles (cscp): Design and experiences. In: 2nd IEEE Conf. on Pervasive Computing and Communications Workshops (PerCom 2004 Workshops), pp. 43–47 (2004)

    Google Scholar 

  5. MAIS: Multi channel adaptive information system, http://www.mais-project.it/

  6. Aberer, K., et al.: Emergent semantics: Principles and issues. In: Lee, Y., Li, J., Whang, K.-Y., Lee, D. (eds.) DASFAA 2004. LNCS, vol. 2973, pp. 25–38. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  7. Ouksel, A.M.: In-context peer-to-peer information filtering on the web. SIGMOD Record 32(3), 65–70 (2003)

    Article  Google Scholar 

  8. Bolchini, C., Curino, C., Schreiber, F.A., Tanca, L.: Context integration for mobile data tailoring. In: Proc. IEEE/ACM Int. Conf. on Mobile Data Management (2006)

    Google Scholar 

  9. Bolchini, C., Curino, C., Quintarelli, E., Schreiber, F.A., Tanca, L.: Context-addict. Technical Report 2006.044, Dip. di Elettronica e Informazione, Politecnico di Milano (2006)

    Google Scholar 

  10. McGuinness, D.L., van Harmelen, F.: OWL Web Ontology Language Overview, W3C Recommendation (2004)

    Google Scholar 

  11. Curino, C., Quintarelli, E., Tanca, L.: Ontology-based information tailoring. In: Proc. IEEE 2nd Int. Workshop on Database Interoperability (InterDB 2006), p. 5 (2006)

    Google Scholar 

  12. dtd2xml: A Conversion Tool from DTD to XML Schema (2004)

    Google Scholar 

  13. The XML document of Reed Courses: http://www.cs.washington.edu/research/xmldatasets/data/courses/reed.xml

  14. Pigozzo, P.: Metodologia e strumento per la traduzione di diagrammi E-R in Schemi XML normalizzati e la generazione automatica della porzione di dati da memorizzare su un dispositivo mobile. Master’s thesis, Politecnico di Milano (2005)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Politecnico di Milano, Italy

    Cristiana Bolchini & Elisa Quintarelli

Authors
  1. Cristiana Bolchini
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  2. Elisa Quintarelli
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Editors and Affiliations

  1. STARLab, Vrije Universiteit Brussel (VUB), Bldg G/10, Pleinlaan 2, 1050, Brussels, Belgium

    Robert Meersman

  2. School of Computer Science and Information Technology, RMIT University, Bld 10.10, 376-392 Swanston Street, 3001, Melbourne, VIC, Australia

    Zahir Tari

  3. Facultad de Informática, Universidad Politécnica de Madrid, Campus de Montegancedo S/N, 28660, Boadilla del Monte, Madrid, Spain

    Pilar Herrero

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© 2006 Springer-Verlag Berlin Heidelberg

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Bolchini, C., Quintarelli, E. (2006). Context-Driven Data Filtering: A Methodology. In: Meersman, R., Tari, Z., Herrero, P. (eds) On the Move to Meaningful Internet Systems 2006: OTM 2006 Workshops. OTM 2006. Lecture Notes in Computer Science, vol 4278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11915072_107

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  • DOI: https://doi.org/10.1007/11915072_107

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-48273-4

  • Online ISBN: 978-3-540-48276-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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