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Document warehousing: a document-intensive application of a multimedia database

Authors: Hiroshi Ishikawa 0004; Manabu Ohta; Koki Kato;

Document warehousing: a document-intensive application of a multimedia database

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.

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    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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