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Filtering the web to feed data warehouses \ by Witold Abramowicz

By: Abramowicz, Witold.
Contributor(s): Kalczynski, Pawel | Wecel, Krzysztof.
Material type: materialTypeLabelBookPublisher: London : Springer, 2002Description: xii, 267 p.ISBN: 1852335793; 9781852335793.Subject(s): Information resources management | Management information systemsDDC classification: 658.4038
Contents:
Ch. 1. Introduction -- Ch. 2. Data Warehouse: Corporate Knowledge Repository -- Ch. 3. Knowledge Representation Standards -- Ch. 4. Information Filtering and Retrieval from Web Sources -- Ch. 5. Enhanced Data Warehouse -- Ch. 6. Profiling -- Ch. 7. Source Exploitation -- Ch. 8. Building Data Wave house Library -- Ch. 9. Context Queries and Enhanced Reports -- Ch. 10. Conclusions.
Summary: This work discusses how to use information available on the Web to supply company data warehouses.
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Item type Current location Collection Call number Status Date due Barcode Item holds
Books Books Information Technology University, Lahore
Barki Road Campus
Non-fiction 658.40380285574 A161F 2002 (Browse shelf) Available 000201
Total holds: 0

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.

Ch. 1. Introduction -- Ch. 2. Data Warehouse: Corporate Knowledge Repository -- Ch. 3. Knowledge Representation Standards -- Ch. 4. Information Filtering and Retrieval from Web Sources -- Ch. 5. Enhanced Data Warehouse -- Ch. 6. Profiling -- Ch. 7. Source Exploitation -- Ch. 8. Building Data Wave house Library -- Ch. 9. Context Queries and Enhanced Reports -- Ch. 10. Conclusions.

This work discusses how to use information available on the Web to supply company data warehouses.

Includes index.

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