Document Warehousing: A Document-Intensive Application of a Multimedia Database

  • Authors:
  • Hiroshi Ishikawa;Manabu Ohta;Koki Kato

  • Affiliations:
  • -;-;-

  • Venue:
  • RIDE '01 Proceedings of the 11th International Workshop on research Issues in Data Engineering
  • Year:
  • 2001

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Abstract

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.