Knowledge discovering for document classification using tree matching in TEXPROS

Wei, Ching-Song; Liu, Qianhong; Wang, Jianli; Ng, Peter A.

doi:10.1016/s0020-0255(97)00048-0

Cited by 5 publications

(1 citation statement)

References 30 publications

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“…Wei et al [5] propose the concept of a layout structure tree (L-S tree) to assist in document classification. A knowledge acquisition tool is developed to derive the document sample tree and document type tree based on a training document repository.…”

Section: Literature Surveymentioning

confidence: 99%

A hierarchical classification mechanism for organization document management

Hou

Lin

2006

Int J Adv Manuf Technol

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In light of the popularity of digital documents in manufacturing systems and manufacturing support systems, implementation of electronic solutions for enterprise document management is critical for modern enterprises to effectively accumulate domain knowledge. Previously, automatic document classification mechanisms were developed to reduce the human efforts dedicated to document classification. However, these approaches simply focused on single-level document classification and could not exactly meet the organization operation requirements. Due to the complexity of enterprise processes, products, and services, a multilevel document classification methodology for enterprise documents is explored in this research. A silicon intellectual property (SIP) management case is also provided to evaluate the performance of the proposed methodology in the realization of intelligent knowledge management.

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Section: Literature Surveymentioning

confidence: 99%