Abstract
Internet Query Systems (IQS) are information systems used to query the World Wide Web by finding data sources relevant to a given query and retrieving data taking into account issues such as the unpredictability of access and transfer rates, infinite streams of data, and the ability to produce partial results. Despite the wide availability of research focusing on query processing for IQS, there are surprisingly few contributions addressing data quality issues such as timeliness and accuracy of data resulting from Internet query processing. This paper provides an overview of an ongoing research effort to extend IQS with a data quality component to ensure timeliness of data resulting from Internet query processing. In particular, we illustrate the quality model, data source layer design and the quality aware algebraic query processing framework adopted in our implementation effort.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Lesk, A.M.: Introduction to Bioinformatics. Oxford University Press, Oxford (2002)
The UK e-Science Programme, http://www.rcuk.ac.uk/escience
Naughton, J.F., DeWitt, D.J., Maier, D., et al.: The Niagara Internet Query System. IEEE Data Eng. Bull 24(2), 27–33 (2001)
Baker, P., Brass, A., Bechhofer, S., Goble, C., Paton, N., Stevens, R.: TAMBIS: An Overview. In: Proc. of Conf. on Intelligent Systems for Molecular Biology, pp. 25–34 (1998)
Olson, J.: Data Quality: the Accuracy Dimension. Morgan Kauffmann, San Francisco (2003)
Leopold, J., Heimovics, M., Palmer, T.: WebFormulate: A Web-Based Visual Continual Query System. In: WWW 2002, Hawaii, May 7-11 (2002)
Gertz, M., Ozsu, T., Saake, G., Sattler, K.: Data Quality on the Web, Dagstuhl Seminar (2003)
Naumann, F., Lesser, U., Freytag, J.: Quality-driven Integration of Heterogeneous Information Systems. In: Proceedings of the 25th VLDB Conference, Scotland (1999)
Mecella, M., Scannapieco, M., Virgillito, A., Baldoni, R., Catarci, A.M.O(e.) T., Batini, C.: The daQuinCIS broker: Querying data and their quality in cooperative information systems. In: Spaccapietra, S., March, S., Aberer, K. (eds.) Journal on Data Semantics I. LNCS, vol. 2800, pp. 208–232. Springer, Heidelberg (2003)
Ballou, R., Wang, R., Pazer, H., Tayi, G.K.: Modeling Information Manufacturing Systems to Determine Information Product Qaulity. Management Science, ABI/INFORM Global 44(4), 462–464 (1998)
Wang, R.Y., Reddy, M.P., Kon, H.B.: Toward Quality data: An attribute-based approach. Decision Support Systems 13, 349–372 (1995)
Smith, J., de F. Mendes Sampaio, S., Watson, P., Paton, N.W.: The Design, Implementation and Evaluation of an ODMG Compliant, Parallel Object Database Server. Distributed and Parallel Databases 16(3), 275–319 (2004)
Sampaio, P.R.F., Paton, N.W.: Query processing in DOQL: A deductive database language for the ODMG model. Data & Knowledge Eng. 35(1), 1–38 (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
de F. Mendes Sampaio, S., Dong, C., Sampaio, P.R.F. (2005). Incorporating the Timeliness Quality Dimension in Internet Query Systems. In: Dean, M., et al. Web Information Systems Engineering – WISE 2005 Workshops. WISE 2005. Lecture Notes in Computer Science, vol 3807. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11581116_6
Download citation
DOI: https://doi.org/10.1007/11581116_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30018-2
Online ISBN: 978-3-540-32287-0
eBook Packages: Computer ScienceComputer Science (R0)