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Data integration over the Web

✍ Scribed by Z. Bellahsene


Book ID
104308852
Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
61 KB
Volume
44
Category
Article
ISSN
0169-023X

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✦ Synopsis


The quantity of information available on the Web is rocketing, thereby making querying and retrieval of Web data more challenging. These limitations arise because the current Web information systems are lacking particularly in the areas of data relationships and semantics.

Moreover, information on the WWW is placed independently by different organizations; thus, documents containing related information may appear at different Websites and in different formats. Currently, XML is becoming the de facto standard for data publishing and exchange data in most enterprises and institutions. This raises the need for efficient and flexible mechanisms to provide an integrated view over multiple heterogeneous information sources exporting XML documents.

There are two main approaches for providing integrated views over multiple data sources. The first approach called materialized or data warehousing extracts data in advance and stores them in a repository. Then, user queries are addressed directly to the data warehouse system and processed without needing to access the data sources. In the second approach, called mediator systems, views are not materialized, therefore answering queries necessitates the access to the data sources. Both approaches enable users to formulate queries through a mediated schema freeing them from the localization and the heterogeneity of the data.


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The Semantic Web envisions a World Wide Web in which data is described with rich semantics and applications can pose complex queries. To this point, researchers have defined new languages for specifying meanings for concepts and developed techniques for reasoning about them, using RDF as the data mo