Logical and physical support for heterogeneous data

Authors:
Sihem Amer-Yahia;Mary Fernández;Rick Greer;Divesh Srivastava
Affiliations:
AT&T Labs - Research;AT&T Labs - Research;AT&T Labs - Research;AT&T Labs - Research
Venue:
Proceedings of the eleventh international conference on Information and knowledge management
Year:
2002

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Abstract

Heterogeneity arises naturally in virtually all real-world data. This paper presents evolutionary extensions to a relational database system for supporting three classes of data heterogeneity: variational, structural and annotational heterogeneities. We define these classes and show the impact of these new features on data storage, data-access mechanisms, and the data-description language. Since XML is an important source of heterogeneity, we describe how the system automatically utilizes these new features when storing XML documents.