Abstract
We study in this vision paper the problem of integrating several web data sources under uncertainty and dependencies. We present a concrete application with web sources about objects in the maritime domain where uncertainties and dependencies are omnipresent. Uncertainties are mainly caused by imprecise information trackers and imperfect human knowledge. Dependencies come from the recurrent copying relationships occurring among the sources. We answer the issue of data integration in such a setting by reformulating it as the merge of several uncertain versions of the same global XML document. As an initial result, we put forward a probabilistic XML data integration model by getting some intuitions from the versioning model with uncertain data we proposed in [5]. We explain how this model can be used for materializing the integration outcome.
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Notes
- 1.
All the screen-shots given in Fig. 2 were captured January 8th, 2014 from http://www.flickr.com/search/?q=CostaSerena, http://en.wikipedia.org/wiki/Costa_Serena, http://www.shippingexplorer.net/en/vessels/view/14429-costa-serena, http://www.marinetraffic.com/ais/details/ships/247187600, and http://www.grosstonnage.com/.
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Acknowledgements
We are grateful to Pierre Senellart and Stephane Bressan for their precious remarks and suggestions. This work was partially funded by the NORMATIS project, and the French government under the STIC-Asia program, CCIPX project.
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Ba, M.L., Montenez, S., Tang, R., Abdessalem, T. (2014). Integration of Web Sources Under Uncertainty and Dependencies Using Probabilistic XML. In: Han, WS., Lee, M., Muliantara, A., Sanjaya, N., Thalheim, B., Zhou, S. (eds) Database Systems for Advanced Applications. DASFAA 2014. Lecture Notes in Computer Science(), vol 8505. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43984-5_28
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DOI: https://doi.org/10.1007/978-3-662-43984-5_28
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