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The ability of relational databases to store and manage large amounts of limited data types is well proven, but the basics of representing textual information and its subsequent retrieval in a meaningful fashion still provides many challenges. This is because documents do not easily map to traditional database solutions. The primary objective of Text Databases and Document Management: Theory and Practice is to provide a focal point for concrete theories and practices in the handling of textual data as well as documents as a whole.
| Preface | ||
| Ch. I | Markup Languages and Electronic Commerce | 1 |
| Ch. II | Search Engines, Relevancy, and the World Wide Web | 22 |
| Ch. III | Addressing the Metadata Gap: Ad Hoc Digital Documents in Organizations | 52 |
| Ch. IV | A Learner-Independent Evaluation of the Usefulness of Statistical Phrases for Automated Text Categorization | 78 |
| Ch. V | Interactive Query Expansion With Automatically Generated Category-Specific Thesauri | 103 |
| Ch. VI | Database Concepts for Marked-Up Textual Documents | 118 |
| Ch. VII | Cooperative Document Management in Multidisciplinary Healthcare | 160 |
| Ch. VIII | Supporting Access to Information Created in Interorganizational Processes | 223 |
| About the Authors | 242 | |
| Index | 246 |
Overview
The ability of relational databases to store and manage large amounts of limited data types is well proven, but the basics of representing textual information and its subsequent retrieval in a meaningful fashion still provides many challenges. This is because documents do not easily map to traditional database solutions. The primary objective of Text Databases and Document Management: Theory and Practice is to provide a focal point for concrete theories and practices in the handling of textual data as well as ...