International Journal of Computational Intelligence Systems

Volume 13, Issue 1, 2020, Pages 1109 - 1119

Framework of Computational Intelligence-Enhanced Knowledge Base Construction: Methodology and A Case of Gene-Related Cardiovascular Disease

Authors
Yi Zhang1, ORCID, Mengjia Wu1, Hua Lin2, ORCID, Steven Tipper2, ORCID, Mark Grosser2, Guangquan Zhang1, Jie Lu1, *, ORCID
1Australian Artificial Intelligence Institute, Faculty of Engineering and Information Technology, University of Technology Sydney, 61 Broadway, Ultimo, NSW 2007, Australia
223Strands, Suite 105, 26 Pirrama Rd, Pyrmont, NSW 2009, Australia
*Corresponding author. Email: jie.lu@uts.edu.au
Corresponding Author
Jie Lu
Received 26 February 2020, Accepted 3 June 2020, Available Online 5 August 2020.
DOI
10.2991/ijcis.d.200728.001How to use a DOI?
Keywords
Bibliometrics; Knowledge management; Computational intelligence; Cardiovascular disease
Abstract

Knowledge base construction (KBC) aims to populate knowledge bases with high-quality information from unstructured data but how to effectively conduct KBC from scientific documents with limited preknowledge is still elusive. This paper proposes a KBC framework by applying computational intelligent techniques through the integration of intelligent bibliometrics—e.g., co-occurrence analysis is used for profiling research topics/domains and identifying key players, and recommending potential collaborators based on the incorporation of a link prediction approach; an approach of scientific evolutionary pathways is exploited to trace the evolution of research topics; and a search engine incorporating with fuzzy logics, word embedding, and genetic algorithm is developed for knowledge searching and ranking. Aiming to examine and demonstrate the reliability of the proposed framework, a case of gene-related cardiovascular diseases is selected, and a knowledge base is constructed, with the validation of domain experts.

Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
13 - 1
Pages
1109 - 1119
Publication Date
2020/08/05
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.d.200728.001How to use a DOI?
Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Yi Zhang
AU  - Mengjia Wu
AU  - Hua Lin
AU  - Steven Tipper
AU  - Mark Grosser
AU  - Guangquan Zhang
AU  - Jie Lu
PY  - 2020
DA  - 2020/08/05
TI  - Framework of Computational Intelligence-Enhanced Knowledge Base Construction: Methodology and A Case of Gene-Related Cardiovascular Disease
JO  - International Journal of Computational Intelligence Systems
SP  - 1109
EP  - 1119
VL  - 13
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.200728.001
DO  - 10.2991/ijcis.d.200728.001
ID  - Zhang2020
ER  -