Integration of large databases by expert teams is only a
small part of the data integration activities that take place.
Users without data integration expertise very often gather,
organize, reconcile, and use diverse information as a
normal part of their jobs. Often, they do this by copying
data into a text file or spreadsheet. In doing so, they make
significant data integration decisions. They often express
a mental model, or schema, over their data. They organize
data to describe real-world entities. They reconcile
redundancy and disagreements in their data. Such
integration is both ubiquitous and not generally supported
by experts and tools available for large integration efforts.
We seek to capture and make explicit the user's mental
model, and the attribute and entity correspondences they
express, during these activities. This paper contributes the
definition of a set of functions that support this type of
data integration, a conceptual model to support these
functions, and an associated simple tool that supports data
integration by end-users in an entity-centric way, with an
extensible schema, that makes the user's job easier.
|Cite as: Archer, D.W. and Delcambre, L.M.L. (2007). Capturing Users' Everyday, Implicit Information Integration Decisions. In Proc. Tutorials, posters, panels and industrial contributions at the 26th International Conference on Conceptual Modeling - ER 2007 Auckland, New Zealand. CRPIT, 83. Grundy, J., Hartmann, S., Laender, A. H. F., Maciaszek, L. and Roddick, J. F., Eds. ACS. 133-138. |
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