Ebook: Filtering the Web to Feed Data Warehouses

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.

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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.

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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.
Content:
Front Matter....Pages i-xii
Introduction....Pages 1-6
Data Warehouse: Corporate Knowledge Repository....Pages 7-40
Knowledge Representation Standards....Pages 41-74
Information Filtering and Retrieval from Web Sources....Pages 75-104
enhanced Data Warehouse....Pages 105-154
Profiling....Pages 155-177
Source Exploitation....Pages 179-202
Building Data Warehouse Library....Pages 203-230
Context Queries and Enhanced Reports....Pages 231-259
Conclusions....Pages 261-263
Back Matter....Pages 265-267

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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.
Content:
Front Matter....Pages i-xii
Introduction....Pages 1-6
Data Warehouse: Corporate Knowledge Repository....Pages 7-40
Knowledge Representation Standards....Pages 41-74
Information Filtering and Retrieval from Web Sources....Pages 75-104
enhanced Data Warehouse....Pages 105-154
Profiling....Pages 155-177
Source Exploitation....Pages 179-202
Building Data Warehouse Library....Pages 203-230
Context Queries and Enhanced Reports....Pages 231-259
Conclusions....Pages 261-263
Back Matter....Pages 265-267
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