Structural Analysis of Latent Similarity among Errors by Applying Text-Mining Methods to Documents of Failure Cases

DOI

Bibliographic Information

Other Title
  • 失敗事例へのテキストマイニング手法の適用に基づく過誤の潜在的構造分析

Abstract

As known as "Year 2007 Problem" in Japan, decrease of opportunities for expertise/skill transfer in organization is becoming a considerable social concern, and some urgent countermeasures to that problem are seriously requested, especially in manufacturing industries. This study investigates into an effective usage of knowledge bases storing a number of account records, in order to let them distributed and shared among community members. We mainly focus on extracting some latent but commonly shared analogous structures with respect to human errors out of incidents/accidents stored in the "Failure Database". A text-mining approach is applied to the documents stored in the database and analogous relationships among accidental cases are identified in spite of their superficial irrelevance. Those "latent but common" structures are visualized as a network, which provides the users with new cues for in-depth analysis of priorly experienced failures.

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Details 詳細情報について

  • CRID
    1390001205666904192
  • NII Article ID
    130004730293
  • DOI
    10.14864/fss.23.0.527.0
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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