Automatic Extraction and Usage of Terminology Dictionary Based on Definitional Sentences Patterns in Technical Documents (기술문서 정의문 패턴을 이용한 전문용어사전 자동추출 및 활용방안)

Hui-Jeong Han (한희정); KIM TAE YOUNG (김태영); Hyo-Chul Doo (두효철); Hyo-Jung Oh (오효정)

doi:10.3743/KOSIM.2017.34.4.081

Automatic Extraction and Usage of Terminology Dictionary Based on Definitional Sentences Patterns in Technical Documents

Journal of the Korean Society for Information Management
Abbr : JKOSIM
2017, 34(4), pp.81~99
DOI : 10.3743/KOSIM.2017.34.4.081
Publisher : 한국정보관리학회
Research Area : Interdisciplinary Studies > Library and Information Science
Received : November 18, 2017
Accepted : December 12, 2017
Published : December 30, 2017

Hui-Jeong Han ¹, KIM TAE YOUNG ¹, Hyo-Chul Doo ¹, Hyo-Jung Oh ¹

¹전북대학교

Accredited

ABSTRACT

Technical documents are important research outputs generated by knowledge and information society. In order to properly use the technical documents properly, it is necessary to utilize advanced information processing techniques, such as summarization and information extraction. In this paper, to extract core information, we automatically extracted the terminologies and their definition based on definitional sentences patterns and the structure of technical documents. Based on this, we proposed the system to build a specialized terminology dictionary. And further we suggested the personalized services so that users can utilize the terminology dictionary in various ways as an knowledge memory. The results of this study will allow users to find up-to-date information faster and easier. In addition, providing a personalized terminology dictionary to users can maximize the value, usability, and retrieval efficiency of the dictionary.

KEYWORDS

technical documents, terminology, definitional sentences, dictionary, automatic extraction

Citation status

* References for papers published after 2023 are currently being built.

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This paper was written with support from the National Research Foundation of Korea.

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Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

Automatic Extraction and Usage of Terminology Dictionary Based on Definitional Sentences Patterns in Technical Documents

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

Automatic Extraction and Usage of Terminology Dictionary Based on Definitional Sentences Patterns in Technical Documents

ABSTRACT

KEYWORDS

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REFERENCES (14) * References for papers published after 2023 are currently being built.

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* References for papers published after 2023 are currently being built.