IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Integrating Heterogeneous Data Sources in the Web

Integrating Heterogeneous Data Sources in the Web
View Sample PDF
Author(s): Angelo Brayner (University of Fortaleza, Brazil), Marcelo Meirelles (University of Fortaleza, Brazil) and José de Aguiar Moraes Filho (University of Fortaleza, Brazil)
Copyright: 2009
Pages: 17
Source title: Database Technologies: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): John Erickson (University of Nebraska, Omaha, USA)
DOI: 10.4018/978-1-60566-058-5.ch150

Purchase

View Integrating Heterogeneous Data Sources in the Web on the publisher's website for pricing and purchasing information.

Abstract

Integrating data sources published on the Web requires an integration strategy that guarantees the local data sources’ autonomy. A multidatabase system (MDBS) has been consolidated as an approach to integrate multiple heterogeneous and distributed data sources in flexible and dynamic environments such as the Web. A key property of MDBSs is to guarantee a higher degree of local autonomy. In order to adopt the MDBS strategy, it is necessary to use a query language, called the MultiDatabase Language (MDL), which provides the necessary constructs for jointly manipulating and accessing data in heterogeneous data sources. In other words, the MDL is responsible for solving integration conflicts. This chapter describes an extension to the XQuery Language, called MXQuery, which supports queries over several data sources and solves such integration problems as semantic heterogeneity and incomplete information.

Related Content

. © 2019. 19 pages.
. © 2019. 44 pages.
. © 2019. 23 pages.
. © 2019. 18 pages.
. © 2019. 11 pages.
. © 2019. 18 pages.
. © 2019. 31 pages.
Body Bottom