Research on Organizational Knowledge Structure's Construction Based on Text Mining

DOI

10.2991/icebi.2010.53How to use a DOI?

Keywords

organizational knowledge structure, text mining, patent documents, knowledge elements, HAC

Abstract

Organizational knowledge structure is a reflection of organizational knowledge system. In this paper, we study organizational knowledge structure¡¯s construction based on patent documents using text mining method. Its construction process is as follows: Firstly, patent documents of organization are collected and preprocessed. Secondly, key terms are extracted from patent documents as knowledge elements using a merge algorithm, and synonymous terms are merged using a Chinese thesaurus - TongYiCi CiLin and pattern matching. Finally, similarity between terms is counted based on cooccurrence of terms, and hierarchical relationships between terms are built using hierarchical agglomerative clustering algorithm (HAC), and then organizational knowledge structure is formed through visualization.

Copyright

© 2010, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jiangnan Qiu
AU  - Chuangling Nian
PY  - 2010/12
DA  - 2010/12
TI  - Research on Organizational Knowledge Structure's Construction Based on Text Mining
BT  - Proceedings of the 1st International Conference on E-Business Intelligence (ICEBI 2010)
PB  - Atlantis Press
SP  - 378
EP  - 385
SN  - 1951-6851
UR  - https://doi.org/10.2991/icebi.2010.53
DO  - 10.2991/icebi.2010.53
ID  - Qiu2010/12
ER  -