The core of a model theory for generic schema management is developed. This theory has two distinctive features: it applies to a variety of categories of schemas, and it applies to transformations of both the schema structure and its integrity constraints. A subtle problem of schema integration is considered in its general form, not bound to any particular category of schemas. The proposed solu...

Schema integration is a central task for data integration. Over the years, many tools have been developed to discover correspondences between schemas elements. Some of them produce an integrated schema. However, the schema matching community lacks some metrics which evaluate the quality of an integrated schema. Two measures have been proposed, completeness and minimality. In this paper, we exte...

Department of Computer Science and Engineering, Arizona State University, Tempe, Arizona, USA [email protected], [email protected], [email protected] Dipartimento di Informatica, University of Torino, Torino, Italy [email protected] ABSTRACT Many applications require exchange and integration of data from multiple, heterogeneous sources. eXtensible Markup Language (XML) is a standard developed to sati...

Integrating data sources is a general problem in many scenarios. The main problem is the heterogeneity between data sources which were created and developed separately. In the literature there exist many different approaches to solve that problem. Schema integration approaches derive an integrated schema by resolving conflicts on schema and data model level. Another kind of approaches are multi...

To form a Cooperative Information System in which several preexisting information systems cooperate by means of database interoperability, a methodology for database schema integration is needed. Extensional issues should be taken into account in such a methodology. We show how objects in different databases that represent the same real world object may be correlated through an object identific...

The Internet has instigated a critical need for automated tools that facilitate integrating countless databases. Since non-technical end users are often the ultimate repositories of the domain information required to distinguish differences in data types, we suppose an effective solution must integrate simple GUI based data browsing tools and automatic mapping methods that eliminate technical u...

An application of data mining techniques to heterogeneous database schema integration is introduced. We use attribute-oriented induction to mine for characteristic and classification rules about individual attributes from heterogeneous databases. Each mining request is conditioned on a subset of attributes identified as "common" between the multiple databases. We develop a method to compare the...

This paper deals with the problem of handling semantic heterogeneity during schema integration. Semantics refer to the meaning of data in contrast to syntax, which solely defines the structure of schema elements. We focus on the part of semantics related to the meanings of terms used to name schema elements. Our approach does not rely on the names of the schema elements or the structure of the ...