Learning Object Identification Rules for Information Integration (2001)
| Venue: | Information Systems |
| Citations: | 77 - 8 self |
BibTeX
@ARTICLE{Tejada01learningobject,
author = {Sheila Tejada and Craig A. Knoblock and Steven Minton},
title = {Learning Object Identification Rules for Information Integration},
journal = {Information Systems},
year = {2001},
volume = {26},
pages = {2001}
}
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Abstract
When integrating information from multiple websites, the same data objects can exist in inconsistent text formats across sites, making it di#cult to identify matching objects using exact text match. We have developed an object identification system called Active Atlas, which compares the objects' shared attributes in order to identify matching objects. Certain attributes are more important for deciding if a mapping should exist between two objects. Previous methods of object identification have required manual construction of object identification rules or mapping rules for determining the mappings between objects. This manual process is time consuming and error-prone.
