Document Warehousing: A Document-Intensive Application of A Multimedia Database Hiroshi Ishikawa, Manabu Ohta, and Koki Kato   View Paper (PDF)   Return to Document Management and Data Intensive Applications Abstract Nowadays, structured data such as sales are stored in data warehouses for decision-making. Less-structured data such as HTML texts, XML data, images, and videos are increasingly accumulated in PC storage due to the spread of the Internet technology such as WWW. Such less-structured data, collectively called multimedia documents, are also precious as corporate assets. So we need to provide a document warehouse to analyze and manage multimedia documents for corporate-wide information mining and reuse like a data warehouse. As a document-intensive application of a multimedia database, we describe a prototype document warehouse system, which supports management of documents, keyword-based and content-based retrieval, rule-based classification, SOM-based clustering and XML active query facility based on ECA rules. DiSC'02 © 2003 Association for Computing Machinery