Corpus building for corporate knowledge discovery and management: A case study of manufacturing

被引:0
|
作者
Liu, Ying [1 ]
Loh, Han Tong [2 ]
机构
[1] Hong Kong Polytech Univ, Dept Ind & Syst Engn, Kowloon, Hong Kong, Peoples R China
[2] Natl Univ Singapore, Dept Engn Mech, Singapore CH-119077, Singapore
来源
KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS: KES 2007 - WIRN 2007, PT I, PROCEEDINGS | 2007年 / 4692卷
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Building a collection of electronic documents, e.g. corpus, is a cornerstone for the research in information retrieval, text mining and knowledge management. In literature, very few papers have discussed the necessary concerns for building a corpus and explained the building process systematically. In this paper, we explain our work of building an enterprise corpus called manufacturing corpus version 1 (MCV1) for corporate knowledge management purpose. Relevant issues, e.g. input texts, category labels and policies, as well as its parallel coding process and quality measurements are discussed. The realworld automated text classification experiments based on MCV1 show the soundness of its coding process. Finally, suggestions are made on how the proposed approach can be implemented in a more economical manner.
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页码:542 / +
页数:2
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