In this paper, we introduce the concept of XML document views over relational schemas.

XML is widely used for data exchange between relational databases. Generic exchange tools are based on mappings between the elements of both schemas. Despite the benefits of using generic tools, the manual definition of the mappings can become a time consuming and error-prone task. Given

This paper describes a technique for importing automatically an external relational schema into Pegasus, a heterogeneous, multidatabase system. The Pegasus data model is a functional object model which supports specialization, object-identity, and nested aggregation. The import algorithm generates

among heterogeneous information sources. Relational databases represent an important type of information source. In this paper, we discuss issues in providing XML document views of relational schemas. We refer to these as, XViews. We also discuss related work from a project funded by DARPA and the US

mapping XML DTD to relational schema

Due to the wide use of object-oriented technology in software development, reverse engineering of relational schemas to object-oriented schemas is gaining a lot of interest. One of the major problems with existing approaches for this schema mapping is the extensive amount of information that must

on XML data aspects and ignore semantic constraints. In the paper, we analyze structural and semantic constraints in XML, and then we discuss how to capture and map these constraints with relational schema. Comparing with existing methods, our approach can preserve more XML constraints and reduce nesting

to guarantee these constraints. At last we present our methods to preserve these constraints with relational schema. Comparing with other methods, our approach can preserve more XML constraints, reduce nesting and redundant data, and avoid storing bad DTDs. 1.

Translating relational schema with constraints into XML schema With XML adopted as technology trend on the Internet, and with investment in the current relational database systems, companies must convert their relational data into XML documents for data transmission on the Internet. In the process

of creating a query that maps between two disparate schemas, are at the heart of data integration systems. We demonstrate Clio, a semi-automatic schema mapping tool developed at the IBM Almaden Research Center. In this demonstration we showcase Clio’s mapping engine that allows mapping to and from relational