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Dynamic Fusion of Web Data

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNISA,volume 4704)

Abstract

Mashups exemplify a workflow-like approach to dynamically integrate data and services from multiple web sources. Such integration workflows can build on existing services for web search, entity search, database querying, and information extraction and thus complement other data integration approaches. A key challenge is the efficient execution of integration workflows and their query and matching steps at runtime. We relate mashup data integration with other approaches, list major challenges, and outline features of a first prototype design.

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References

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Authors and Affiliations

Authors

Editor information

Denilson Barbosa Angela Bonifati Zohra Bellahsène Ela Hunt Rainer Unland

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© 2007 Springer-Verlag Berlin Heidelberg

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Rahm, E., Thor, A., Aumueller, D. (2007). Dynamic Fusion of Web Data. In: Barbosa, D., Bonifati, A., Bellahsène, Z., Hunt, E., Unland, R. (eds) Database and XMLTechnologies. XSym 2007. Lecture Notes in Computer Science, vol 4704. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75288-2_2

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  • DOI: https://doi.org/10.1007/978-3-540-75288-2_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-75287-5

  • Online ISBN: 978-3-540-75288-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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