A hierarchical classification mechanism for organization document management

Abstract

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.

Knowledge Reuse Enhancement with Motional Visual Representation

“…It is often used with other mathematical calculations to overcome problems caused by obscure phrases [11], [16], [14] utilizing the dictionarybased and the statistical-based methods. By matching each sentence in the free-form document with phrases in the thesauri, there would be different methods of word segmentation; furthermore, since each phrase has its own show-up-rate (the possibility of the phrase appearing in a sentence), the maximum value of the multiplication of all show-up-rates would correspond to the most possible segmentation layout of the sentence.…”