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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Shaw, M., Blanning, R., Strader, T., Whinston, A. (eds.): Handbook on Electronic Commerce. Springer, Heidelberg (1999)
Romm, C.T., Sudweeks, F. (eds.): Doing Business Electronically - A Global Perspective of Electronic Commerce. Springer, London (1998)
Kotler, P., Armstrong, G.: Principles of Marketing. Pearson, Prentice Hall, New Jersey (2007)
Dhyani, D., Ng, W.K., Bhowmick, S.S.: A Survey of Web Metrics. ACM Computing Surveys 34(4), 469–503 (2002)
Fayyad, U., Piatetsky-Shapiro, G., Smyth, P., Uthurusamy, R. (eds.): Advances in Knowledge Discovery and Data Mining. AAAI/MIT Press, Menlo Park (1996)
Lenzerini, M.: Data Integration: A Theoretical Perspective. In: PODS 2002, pp. 233–246 (2002)
Davies, J., Studer, R., Warren, P.: Semantic Web Technologies: Trends and Research in Ontology-based Systems. Wiley, New York (2006)
Werthner, H., Klein, S.: Information Technology and Tourism. In: A Challenging Relationship. Springer, Wien (2008)
Levy, P.S., Lemenshow, S.: Sampling of Populations: Methods and Applications. Wiley, New York (1999)
Wiederhold, G., Genesereth, M.: The Conceptual Basis for Mediation Services. IEEE Expert 12(5), 38–47 (1997)
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)
Fellegi, I., Sunter, A.: A Theory for Record Linkage. JASA 64(328), 1183–1210 (1969)
Kimball, R., Ross, M.: The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling. Wiley, New York (2001)
Visser, U.: Intelligent Information Integration for the Semantic Web. LNCS (LNAI), vol. 3159. Springer, Heidelberg (2004)
Batini, C., Lenzerini, M., Navate, S.B.: A Comparative Analysis of Methodologies for Database Schema Integration. ACM Computing Surveys 18(4), 323–364 (1986)
Rajaraman, A., Sagiv, Y., Ullman, J.D.: Answering Queries Using Templates with Binding Patterns. In: PODS 1995, pp. 105–112 (1995)
Halevy, A.Y.: Answering Queries Using Views: A Survey. VLDB Journal 10(4), 270–294 (2001)
Chidlovskii, B., Borghoff, U., Chevalier, P.: Towards Sophisticated Wrapping of Web-based Information Repositories. In: RIAO 1997, Montreal, pp. 123–155 (1997)
LiXto Visual Wrapper, http://www.lixto.com/li/liview/action/display/frmLiID/12/ (last accessed June 24, 2009)
SAS Enterprise Miner, http://support.sas.com/documentation/onlinedoc/miner/index.html (last accessed June 24, 2009)
SPSS Modeler (previously: Clementine), http://www.spss.com/software/modeling/modeler/ (last accessed June 24, 2009)
Herzog, T.N., Scheuren, F.J., Winkler, W.E.: Data Quality and Record Linkage Techniques. Springer, New York (2007)
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)
Hess, C., Ostrom, E.: Ideas, Artifacts, and Facilities: Information as a Common-pool Resource. Law and Contemporary Problems 66, 111–145 (2003)
Cho, J., Garcia-Molina, H.: Estimating frequency of change. ACM Transactions on Internet Technology 3(3), 256–290 (2003)
Grimes, C., Ford, D.: Estimation of web page change rates. In: JSM, pp. 3968–3973. Denver, Co. (2008)
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)
Kellerer, H., Pferschy, H.U., Pisinger, D.: Knapsack Problems. Springer, Heidelberg (1983)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
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)