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Corpus Building for Corporate Knowledge Discovery and Management: A Case Study of Manufacturing

  • Ying Liu
  • Han Tong Loh
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4692)

Abstract

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 real-world 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.

Keywords

Information Retrieval Knowledge Management Code Operator Category Label Code Process 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Ying Liu
    • 1
  • Han Tong Loh
    • 2
  1. 1.Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SARChina
  2. 2.Department of Mechanical Engineering, National University of Singapore, 21 Lower Kent Ridge Road, 119077Singapore

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