文档仓库:一种多媒体数据库方法

H. Ishikawa, Kazumi Kubota, Y. Noguchi, Koki Kato, M. Ono, Naomi Yoshizawa, Akiko Kanaya
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引用次数: 6

摘要

如今,销售和业务表单等结构化数据存储在数据仓库中,供决策者使用。此外,由于邮件、WWW和文字处理的普及,电子邮件、html文本、图像、视频和办公文档等非结构化数据越来越多地积累在个人计算机存储中。这样的非结构化数据,或者我们所说的多媒体文档,在容量上比结构化数据更大,也像公司资产一样宝贵。因此,我们需要一个文档仓库作为软件框架,在其中对多媒体文档进行分析和管理,以实现企业范围内的信息共享和重用,就像结构化数据的数据仓库一样。我们描述了一个原型文档仓库系统,它支持简单和复合文档的管理、基于关键字和基于内容的检索、基于规则的分类、基于SOM的聚类和业务规则。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A document warehouse: a multimedia database approach
Nowadays, structured data such as sales and business forms are stored in data warehouses for decision makers to use. Further, unstructured data such as emails, html texts, images, videos, and office documents are increasingly accumulated in personal computer storage due to spread of mailing, WWW, and word processing. Such unstructured data, or what we call multimedia documents, are larger in volume than structured data and precious as corporate assets as well. So we need a document warehouse as a software framework where multimedia documents are analyzed and managed for corporate wide information sharing and reuse like a data warehouse for structured data. We describe a prototype document warehouse system, which supports management of simple and compound documents, keyword based and content based retrieval, rule based classification, SOM based clustering, and business rules.
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