Paper Info
Title
Capturing users' everyday, implicit information integration decisions
Abstract
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.
Year
Venue
Keywords
2007
ER (Tutorials, Posters, Panels & Industrial Contributions)
large databases,conceptual model,normal part,capturing user,large integration effort,data integration,data integration activity,significant data integration decision,implicit information integration decision,data integration expertise,extensible schema,mental model,data integrity,information integration,entity resolution
Field
DocType
Citations 
Data integration,Ontology-based data integration,Data mining,Information integration,Conceptual model,Computer science,Copying,IDEF1X,Enterprise information integration,Schema (psychology),Database
Conference
2
PageRank 
References 
Authors
0.41
9
2
Name
Order
Citations
PageRank
David W. Archer1505.28
Lois M. L. Delcambre2992420.78