Presentation 2022-03-09
Automatic Detection of Fire Causes for Ontology Development for Automatic Understanding of Fire Situation
Kento Matsuba, Masahide Nakamura, Sachio Saiki,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) The fire investigation report prepared by the Kobe City Fire Department contains information on the causes of the fire and the problems that led to the fire, but efforts to consolidate and utilize this information have not progressed. Since many items in fire investigation reports are recorded as text, it is difficult to extract features mechanically. By using Japanese natural language processing technology, we were able to extract the ignition source, the course of the fire, and the ignition materials from various data provided by the Kobe City Fire Department. As a result, we were able to extract the ignition source with an accuracy of 93.1% and the ignition material with 77.4%. For the extraction of the process, the results were generally reasonable in 42.4% of the cases.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) fire / cause of fire / text mining / fire research report / NLP / morphological analysis / syntax analysis
Paper # KBSE2021-45
Date of Issue 2022-03-02 (KBSE)

Conference Information
Committee KBSE
Conference Date 2022/3/9(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) General, Student
Chair Hiroyuki Nakagawa(Osaka Univ.)
Vice Chair Takuya Saruwatari(NTT Data)
Secretary Takuya Saruwatari(Shinshu Univ)
Assistant Hideharu Kojima(Osaka Univ.) / Yutaro Kashiwa(Kyushu Univ,)

Paper Information
Registration To Technical Committee on Knowledge-Based Software Engineering
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Automatic Detection of Fire Causes for Ontology Development for Automatic Understanding of Fire Situation
Sub Title (in English)
Keyword(1) fire
Keyword(2) cause of fire
Keyword(3) text mining
Keyword(4) fire research report
Keyword(5) NLP
Keyword(6) morphological analysis
Keyword(7) syntax analysis
1st Author's Name Kento Matsuba
1st Author's Affiliation Kobe University(Kobe Univ.)
2nd Author's Name Masahide Nakamura
2nd Author's Affiliation Kobe University(Kobe Univ.)
3rd Author's Name Sachio Saiki
3rd Author's Affiliation Kochi University of Technology(KUT)
Date 2022-03-09
Paper # KBSE2021-45
Volume (vol) vol.121
Number (no) KBSE-424
Page pp.pp.24-29(KBSE),
#Pages 6
Date of Issue 2022-03-02 (KBSE)