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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© 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
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