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Filtering the Web to Feed Data Warehouses / Edition 1
     

Filtering the Web to Feed Data Warehouses / Edition 1

by Witold Abramowicz, Pawel J. Kalczynski, Krzysztof Wecel
 

ISBN-10: 1852335793

ISBN-13: 9781852335793

Pub. Date: 07/24/2002

Publisher: Springer London

Information is a key factor in business today, and data warehousing has become a major activity in the development and management of information systems to support the proper flow of information. Unfortunately, the majority of information systems are based on structured information stored in organizational databases, which means that the company is isolated from

Overview

Information is a key factor in business today, and data warehousing has become a major activity in the development and management of information systems to support the proper flow of information. Unfortunately, the majority of information systems are based on structured information stored in organizational databases, which means that the company is isolated from the business environment by concentrating on their internal data sources only. It is therefore vital that organizations take advantage of external business information, which can be retrieved from Internet services and mechanically organized within the existing information structures. Such a continuously extending integrated collection of documents and data could facilitate decision-making processes in the organization. Filtering the Web to Feed Data Warehouses discusses areas such as:
- how to use data warehouse for filtering Web content
- how to retrieve relevant information from diverse sources on the Web
- how to handle the time aspect
- how to mechanically establish links among data warehouse structures and documents filtered from external sources
- how to use collected information to increase corporate knowledge and gives a comprehensive example, illustrating the idea of supplying data warehouses with relevant information filtered from the Web.

Product Details

ISBN-13:
9781852335793
Publisher:
Springer London
Publication date:
07/24/2002
Edition description:
2002
Pages:
267
Product dimensions:
6.10(w) x 9.25(h) x 0.24(d)

Table of Contents

Introduction.- Data Warehouse: Corporate Knowledge Repository.- Knowledge Representation Standards.- Information Filtering and Retrieval from Web Sources.- Enhanced Data Warehouse.- Profiling Source Exploitation Building Data Warehouse Library.- Context Queries and Enhanced Reports.- Conclusions.

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