We discuss our recent approaches to enable the specication of a conceptual reconciled schema by directly manipulating source conceptual schemas. In particular, we use reverse engineering tools to reconstruct conceptual schemas when these are not available, and use iconic operators to specify how to map source schemas to the reconciled one. Moreover, we describe the mapping of the conceptual reconciled schema to a logical data model, including mechanisms to extract data from sources and loading them to reconciled database
International audienceSchema matching is the process of establishing correspondences between the att...
System evolution and re-engineering are becoming increasingly important as the size and complexity o...
As more information becomes available, the ability to quickly incorporate new and diverse data sourc...
We discuss our recent approaches to enable the specication of a conceptual reconciled schema by dire...
AbstractDatabase reverse engineering (DBRE) methods recover conceptual data models from physical dat...
This paper describes the steps of a reverse engineering process for translating a hierarchical data ...
Data integration is an extremely complex process, especially one involving big data sources. For thi...
In this paper, an approach for information systems reverse engineering is proposed and applied. The ...
We present a visual language and a tool to perform data integration at conceptual level, aiming to r...
Nowadays, enterprises often need to integrate heterogeneous data sources for many purposes. Given t...
A logical database schema, e.g. a relational one, is the implementation of a specification, e.g. an ...
AbstractThis paper presents a solution and a methodology to recover legacy databases of most DBMS us...
Integration is one of the most important aspects of a Data Warehouse. When data passes from the sour...
Abstract. Conceptual-relational mappings between conceptual models and relational schemas have been ...
The rapid growth of available data arises the need for more sophisticated techniques for semantic ac...
International audienceSchema matching is the process of establishing correspondences between the att...
System evolution and re-engineering are becoming increasingly important as the size and complexity o...
As more information becomes available, the ability to quickly incorporate new and diverse data sourc...
We discuss our recent approaches to enable the specication of a conceptual reconciled schema by dire...
AbstractDatabase reverse engineering (DBRE) methods recover conceptual data models from physical dat...
This paper describes the steps of a reverse engineering process for translating a hierarchical data ...
Data integration is an extremely complex process, especially one involving big data sources. For thi...
In this paper, an approach for information systems reverse engineering is proposed and applied. The ...
We present a visual language and a tool to perform data integration at conceptual level, aiming to r...
Nowadays, enterprises often need to integrate heterogeneous data sources for many purposes. Given t...
A logical database schema, e.g. a relational one, is the implementation of a specification, e.g. an ...
AbstractThis paper presents a solution and a methodology to recover legacy databases of most DBMS us...
Integration is one of the most important aspects of a Data Warehouse. When data passes from the sour...
Abstract. Conceptual-relational mappings between conceptual models and relational schemas have been ...
The rapid growth of available data arises the need for more sophisticated techniques for semantic ac...
International audienceSchema matching is the process of establishing correspondences between the att...
System evolution and re-engineering are becoming increasingly important as the size and complexity o...
As more information becomes available, the ability to quickly incorporate new and diverse data sourc...