Instance-Based Learning and Information Extraction for the Generation of Metadata

Topics:
Competitive Strategy,
Knowledge Management
Tags:
Business Intelligence,
Strategy,
Software,
Metadata,
Mergers & Acquisitions,
Management,
Knowledge Management,
Investment,
Finance,
Enterprise Software,
...
Source:
University of Bremen

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Overview: Knowledge Management recently has become popular in enterprises hoping to achieve a competitive advantage. Describing information by metadata allows for performing detailed queries uniformly over information items from different information sources and enables goal-directed search and automatic provision of relevant information. As the manual acquisition of metadata is very costly, support for this task is desired. This paper presents two metadata extractors for the creation of metadata. The first applies Instance-Based Learning for the adoption of metadata from similar objects. The second extracts information by applying regular expressions.

(Is this item miscategorized? Does it need more tags? Let us know.)

Format: PDF | Size: 132KB | Date: Jul 2003 | Pages: 8

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