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

Authors

Yi Zhang^1, , Mengjia Wu¹, Hua Lin^2, , Steven Tipper^2, , Mark Grosser², Guangquan Zhang¹, Jie Lu^{1, *,}

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

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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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  -