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The Online Market Observatory: A Domain Model Approach

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Knowledge Science, Engineering and Management (KSEM 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5914))

Abstract

The “Semantic Market Monitoring” (SEMAMO) project aims at the prototypical implementation of a generic online market observatory. SEMAMO is intended to provide a flexible empirical instrument for the continuous collection of data about products and services on offer through WWW portals. Based on a uniform data processing scheme covering all stages from data capture using configurable mediators, through integration of data from multiple sources and persistent storage, up to statistical analyses and reporting functions, SEMAMO delivers a self-contained formal specification framework of market monitoring applications. The formal descriptions of application domains, data integration tasks, and analyses of interest facilitate, by deductive conversions, the arrangement and execution of all internal data and storage structures, observation processes, data transformations, and market analytics, respectively. Specifically, SEMAMO exploits formalised domain structures to adaptively optimise data quality and observation efficiency. The framework is evaluated practically in an application to online tourism.

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References

  1. Shaw, M., Blanning, R., Strader, T., Whinston, A. (eds.): Handbook on Electronic Commerce. Springer, Heidelberg (1999)

    Google Scholar 

  2. Romm, C.T., Sudweeks, F. (eds.): Doing Business Electronically - A Global Perspective of Electronic Commerce. Springer, London (1998)

    Google Scholar 

  3. Kotler, P., Armstrong, G.: Principles of Marketing. Pearson, Prentice Hall, New Jersey (2007)

    Google Scholar 

  4. Dhyani, D., Ng, W.K., Bhowmick, S.S.: A Survey of Web Metrics. ACM Computing Surveys 34(4), 469–503 (2002)

    Article  Google Scholar 

  5. Fayyad, U., Piatetsky-Shapiro, G., Smyth, P., Uthurusamy, R. (eds.): Advances in Knowledge Discovery and Data Mining. AAAI/MIT Press, Menlo Park (1996)

    Google Scholar 

  6. Lenzerini, M.: Data Integration: A Theoretical Perspective. In: PODS 2002, pp. 233–246 (2002)

    Google Scholar 

  7. Davies, J., Studer, R., Warren, P.: Semantic Web Technologies: Trends and Research in Ontology-based Systems. Wiley, New York (2006)

    Google Scholar 

  8. Werthner, H., Klein, S.: Information Technology and Tourism. In: A Challenging Relationship. Springer, Wien (2008)

    Google Scholar 

  9. Levy, P.S., Lemenshow, S.: Sampling of Populations: Methods and Applications. Wiley, New York (1999)

    MATH  Google Scholar 

  10. Wiederhold, G., Genesereth, M.: The Conceptual Basis for Mediation Services. IEEE Expert 12(5), 38–47 (1997)

    Article  Google Scholar 

  11. Baumgartner, R., Frölich, O., Gottlob, G.: The Lixto Systems Applications in Business Intelligence and Semantic Web. In: Franconi, E., Kifer, M., May, W. (eds.) ESWC 2007. LNCS, vol. 4519, pp. 16–26. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  12. Fellegi, I., Sunter, A.: A Theory for Record Linkage. JASA 64(328), 1183–1210 (1969)

    Google Scholar 

  13. Kimball, R., Ross, M.: The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling. Wiley, New York (2001)

    Google Scholar 

  14. Visser, U.: Intelligent Information Integration for the Semantic Web. LNCS (LNAI), vol. 3159. Springer, Heidelberg (2004)

    Google Scholar 

  15. Batini, C., Lenzerini, M., Navate, S.B.: A Comparative Analysis of Methodologies for Database Schema Integration. ACM Computing Surveys 18(4), 323–364 (1986)

    Article  Google Scholar 

  16. Rajaraman, A., Sagiv, Y., Ullman, J.D.: Answering Queries Using Templates with Binding Patterns. In: PODS 1995, pp. 105–112 (1995)

    Google Scholar 

  17. Halevy, A.Y.: Answering Queries Using Views: A Survey. VLDB Journal 10(4), 270–294 (2001)

    Article  MATH  Google Scholar 

  18. Chidlovskii, B., Borghoff, U., Chevalier, P.: Towards Sophisticated Wrapping of Web-based Information Repositories. In: RIAO 1997, Montreal, pp. 123–155 (1997)

    Google Scholar 

  19. LiXto Visual Wrapper, http://www.lixto.com/li/liview/action/display/frmLiID/12/ (last accessed June 24, 2009)

  20. SAS Enterprise Miner, http://support.sas.com/documentation/onlinedoc/miner/index.html (last accessed June 24, 2009)

  21. SPSS Modeler (previously: Clementine), http://www.spss.com/software/modeling/modeler/ (last accessed June 24, 2009)

  22. Herzog, T.N., Scheuren, F.J., Winkler, W.E.: Data Quality and Record Linkage Techniques. Springer, New York (2007)

    MATH  Google Scholar 

  23. Winkler, W.E.: String Comparator Metrics and Enhanced Decision Rules in the Fellegi-Sunter Model of Record Linkage. ASA Proc. of the Sect. on Survey Res. Methods, 354–359 (1990)

    Google Scholar 

  24. Hess, C., Ostrom, E.: Ideas, Artifacts, and Facilities: Information as a Common-pool Resource. Law and Contemporary Problems 66, 111–145 (2003)

    Google Scholar 

  25. Cho, J., Garcia-Molina, H.: Estimating frequency of change. ACM Transactions on Internet Technology 3(3), 256–290 (2003)

    Article  Google Scholar 

  26. Grimes, C., Ford, D.: Estimation of web page change rates. In: JSM, pp. 3968–3973. Denver, Co. (2008)

    Google Scholar 

  27. Walchhofer, N., Froeschl, K.A., Hronsky, M., Hornik, K.: Adaptive Web Harvesting in Online Market Monitoring. Submitted to Journal for Advanced Data Analysis and Classification (2009)

    Google Scholar 

  28. Kellerer, H., Pferschy, H.U., Pisinger, D.: Knapsack Problems. Springer, Heidelberg (1983)

    Google Scholar 

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Walchhofer, N., Hronsky, M., Froeschl, K.A. (2009). The Online Market Observatory: A Domain Model Approach. In: Karagiannis, D., Jin, Z. (eds) Knowledge Science, Engineering and Management. KSEM 2009. Lecture Notes in Computer Science(), vol 5914. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10488-6_24

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  • DOI: https://doi.org/10.1007/978-3-642-10488-6_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10487-9

  • Online ISBN: 978-3-642-10488-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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