Article ID Journal Published Year Pages File Type
397538 Information Systems 2009 17 Pages PDF
Abstract

Schema matching is an important step in database integration. It identifies elements in two or more databases that have the same meaning. A multitude of schema matching methods have been proposed, but little is known about how humans assign meaning to database elements or assess the similarity of meaning of database elements. This paper presents an initial experimental study based on five theories of meaning that compares the effects of seven factors on the perceived similarity of database elements. Implications for schema matching research are discussed and guidance for future research is offered.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
Authors
,