Automatic text processing
Data warehousing energizes your enterprise
Datamation
The data warehouse toolkit: practical techniques for building dimensional data warehouses
The data warehouse toolkit: practical techniques for building dimensional data warehouses
Pivoted document length normalization
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
On-line new event detection and tracking
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Summarizing text documents: sentence selection and evaluation metrics
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Communications of the ACM
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Creating and evaluating multi-document sentence extract summaries
Proceedings of the ninth international conference on Information and knowledge management
Data mining: concepts and techniques
Data mining: concepts and techniques
Concept-based knowledge discovery in texts extracted from the Web
ACM SIGKDD Explorations Newsletter
Probabilistic techniques for phrase extraction
Information Processing and Management: an International Journal
Document Warehousing and Text Mining: Techniques for Improving Business Operations, Marketing, and Sales
Building the Data Warehouse
Data Warehousing in the Real World: A Practical Guide for Building Decision Support Systems
Data Warehousing in the Real World: A Practical Guide for Building Decision Support Systems
Data Mining Techniques: For Marketing, Sales, and Customer Support
Data Mining Techniques: For Marketing, Sales, and Customer Support
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Ontologies for conceptual modeling: their creation, use, and management
Data & Knowledge Engineering
IEEE Internet Computing
IEEE Internet Computing
What Are Ontologies, and Why Do We Need Them?
IEEE Intelligent Systems
A Document Warehouse: A Multimedia Database Approach
DEXA '98 Proceedings of the 9th International Workshop on Database and Expert Systems Applications
Document Warehousing Based on a Multimedia Database System
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
Document Warehousing: A Document-Intensive Application of a Multimedia Database
RIDE '01 Proceedings of the 11th International Workshop on research Issues in Data Engineering
Design of a multi-dimensional query expression for document warehouses
Information Sciences: an International Journal
A survey for multi-document summarization
HLT-NAACL-DUC '03 Proceedings of the HLT-NAACL 03 on Text summarization workshop - Volume 5
Top_Keyword: An Aggregation Function for Textual Document OLAP
DaWaK '08 Proceedings of the 10th international conference on Data Warehousing and Knowledge Discovery
A conceptual model for multidimensional analysis of documents
ER'07 Proceedings of the 26th international conference on Conceptual modeling
Finding an application-appropriate model for XML data warehouses
Information Systems
Toward total business intelligence incorporating structured and unstructured data
Proceedings of the 2nd International Workshop on Business intelligencE and the WEB
Multidimensional database design from document-centric XML documents
DaWaK'11 Proceedings of the 13th international conference on Data warehousing and knowledge discovery
A text-based decision support system for financial sequence prediction
Decision Support Systems
Evaluation model of business intelligence for enterprise systems using fuzzy TOPSIS
Expert Systems with Applications: An International Journal
A multi-agent-based decision support system for bankruptcy contagion effects
Expert Systems with Applications: An International Journal
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During the past decade, data warehousing has been widely adopted in the business community. It provides multi-dimensional analyses on cumulated historical business data for helping contemporary administrative decision-making. Nevertheless, it is believed that only about 20% information can be extracted from data warehouses concerning numeric data only, the other 80% information is hidden in non-numeric data or even in documents. Therefore, many researchers now advocate that it is time to conduct research work on document warehousing to capture complete business intelligence. Document warehouses, unlike traditional document management systems, include extensive semantic information about documents, cross-document feature relations, and document grouping or clustering to provide a more accurate and more efficient access to text-oriented business intelligence. In this paper, we discuss the basic concept of document warehousing and present its formal definitions. Then, we propose a general system framework and elaborate some useful applications to illustrate the importance of document warehousing. The work is essential for establishing an infrastructure to help combine text processing with numeric OLAP processing technologies. The combination of data warehousing and document warehousing will be one of the most important kernels of knowledge management and customer relationship management applications.