A survey on literature based discovery approaches in biomedical domain

Vishrawas Gopalakrishnan; Kishlay Jha; Wei Jin; Aidong Zhang

doi:10.1016/j.jbi.2019.103141

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A survey on literature based discovery approaches in biomedical domain

Journal article

Open access

Peer reviewed

A survey on literature based discovery approaches in biomedical domain

Vishrawas Gopalakrishnan, Kishlay Jha, Wei Jin and Aidong Zhang

Journal of biomedical informatics, Vol.93, pp.103141-103141

05/2019

DOI: 10.1016/j.jbi.2019.103141

PMID: 30857950

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Abstract

[Display omitted] Literature Based Discovery (LBD) refers to the problem of inferring new and interesting knowledge by logically connecting independent fragments of information units through explicit or implicit means. This area of research, which incorporates techniques from Natural Language Processing (NLP), Information Retrieval and Artificial Intelligence, has significant potential to reduce discovery time in biomedical research fields. Formally introduced in 1986, LBD has grown to be a significant and a core task for text mining practitioners in the biomedical domain. Together with its inter-disciplinary nature, this has led researchers across domains to contribute in advancing this field of study. This survey attempts to consolidate and present the evolution of techniques in this area. We cover a variety of techniques and provide a detailed description of the problem setting, the intuition, the advantages and limitations of various influential papers. We also list the current bottlenecks in this field and provide a general direction of research activities for the future. In an effort to be comprehensive and for ease of reference for off-the-shelf users, we also list many publicly available tools for LBD. We hope this survey will act as a guide to both academic and industry (bio)-informaticians, introduce the various methodologies currently employed and also the challenges yet to be tackled.

Hypothesis generation

Literature based discovery

MEDLINE

Semantic knowledge

Text-mining

Details

Title: Subtitle: A survey on literature based discovery approaches in biomedical domain
Creators: Vishrawas Gopalakrishnan - University at Buffalo, State University of New York
Kishlay Jha - University of Virginia
Wei Jin - University of North Texas
Aidong Zhang - University of Virginia
Resource Type: Journal article
Publication Details: Journal of biomedical informatics, Vol.93, pp.103141-103141
DOI: 10.1016/j.jbi.2019.103141
PMID: 30857950
NLM abbreviation: J Biomed Inform
ISSN: 1532-0464
eISSN: 1532-0480
Publisher: Elsevier Inc
Grant note: name: US National Science Foundation, award: NSF IIS-1218393, IIS-1514204
Language: English
Date published: 05/2019
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984294927202771

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