A Study on the Semiautomatic Construction of Domain - Specific Relation Extraction Datasets from Biomedical Abstracts - Mainly Focusing on a Genic Interaction Dataset in Alzheimer’s Disease Domain -  (바이오 분야 학술 문헌에서의 분야별 관계 추출 데이터셋 반자동 구축에 관한 연구 - 알츠하이머병 유관 유전자 간 상호 작용 중심으로 - )

Sung-Pil Choi (최성필); Seok Jong Yu (유석종); Hyun Yang Cho (조현양)

doi:10.16981/kliss.47.4.201612.289

A Study on the Semiautomatic Construction of Domain - Specific Relation Extraction Datasets from Biomedical Abstracts - Mainly Focusing on a Genic Interaction Dataset in Alzheimer’s Disease Domain -

Journal of Korean Library and Information Science Society
Abbr : JKLISS
2016, 47(4), pp.289-307
DOI : 10.16981/kliss.47.4.201612.289
Publisher : Korean Library And Information Science Society
Research Area : Interdisciplinary Studies > Library and Information Science

Sung-Pil Choi ¹, Seok Jong Yu ², Hyun Yang Cho ¹

¹경기대학교
²한국과학기술정보연구원

Accredited

ABSTRACT

This paper introduces a software system and process model for constructing domain-specific relation extraction datasets semi-automatically. The system uses a set of terms such as genes, proteins diseases and so forth as inputs and then by exploiting massive biological interaction database, generates a set of term pairs which are utilized as queries for retrieving sentences containing the pairs from scientific databases. To assess the usefulness of the proposed system, this paper applies it into constructing a genic interaction dataset related to Alzheimer’s disease domain, which extracts 3,510 interaction-related sentences by using 140 gene names in the area. In conclusion, the resulting outputs of the case study performed in this paper indicate the fact that the system and process could highly boost the efficiency of the dataset construction in various subfields of biomedical research.

KEYWORDS

Relation extraction, Dataset construction, Genic interactions, Machine learning, Text mining

Citation status

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

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Journal of Korean Library and Information Science Society 2023 KCI Impact Factor : 1.02

A Study on the Semiautomatic Construction of Domain - Specific Relation Extraction Datasets from Biomedical Abstracts - Mainly Focusing on a Genic Interaction Dataset in Alzheimer’s Disease Domain -

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

Journal of Korean Library and Information Science Society 2023 KCI Impact Factor : 1.02

A Study on the Semiautomatic Construction of Domain - Specific Relation Extraction Datasets from Biomedical Abstracts - Mainly Focusing on a Genic Interaction Dataset in Alzheimer’s Disease Domain -

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KEYWORDS

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