Knowledge fusion through academic articles: a survey of definitions, techniques, applications and challenges

Zhang, Y; Wang, M; Saberi, M; Chang, E

Knowledge fusion through academic articles: a survey of definitions, techniques, applications and challenges

Zhang, Y Wang, M Saberi, M

Chang, E

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Publisher:: SPRINGER
Publication Type:: Journal Article
Citation:: Scientometrics, 2020, 125, (3), pp. 2637-2666
Issue Date:: 2020-12-01

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Field	Value	Language
dc.contributor.author	Zhang, Y
dc.contributor.author	Wang, M
dc.contributor.author	Saberi, M https://orcid.org/0000-0002-5168-2078
dc.contributor.author	Chang, E
dc.date.accessioned	2021-02-24T21:15:46Z
dc.date.available	2021-02-24T21:15:46Z
dc.date.issued	2020-12-01
dc.identifier.citation	Scientometrics, 2020, 125, (3), pp. 2637-2666
dc.identifier.issn	0138-9130
dc.identifier.issn	1588-2861
dc.identifier.uri	http://hdl.handle.net/10453/146419
dc.description.abstract	© 2020, Akadémiai Kiadó, Budapest, Hungary. The ever growing volume of academic articles stresses the need for a new generation of knowledge management method to intelligently reuse the academic knowledge and facilitate the development of scientific research. Knowledge fusion (KF) serves a key element of such method addressing those needs, and breakthrough progress has taken place in the field of KF. This brings a great opportunity for the academic community to expedite the process of literature review and automatically retrieve the required knowledge from academic publications. Therefore, a survey reviewing the KF studies in terms of the related technologies and applications for valuable insights to reuse academic knowledge, which is missing from the state-of-the-art literature, is in need. Motivated to bridge this gap, this paper conducts a systematic survey reviewing the existing studies on KF, meanwhile discussing the opportunities and challenges of applying KF through academic articles. To this end, we revisit the definitions of knowledge and KF in the context of academic articles, and summarise the fusion patterns and their usage in existing applications. Furthermore, we review the techniques and applications of KF, especially those with academic articles as sources of knowledge. Finally, we discuss the challenges and future directions in order to bring new insights to researchers and practitioners to deepen their understanding of knowledge fusion and to develop versatile functions.
dc.language	English
dc.publisher	SPRINGER
dc.relation.ispartof	Scientometrics
dc.relation.isbasedon	10.1007/s11192-020-03683-3
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0807 Library and Information Studies, 1605 Policy and Administration
dc.subject.classification	Science Studies
dc.title	Knowledge fusion through academic articles: a survey of definitions, techniques, applications and challenges
dc.type	Journal Article
utslib.citation.volume	125
utslib.for	0807 Library and Information Studies
utslib.for	1605 Policy and Administration
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
dc.date.updated	2021-02-24T21:15:42Z
pubs.issue	3
pubs.publication-status	Published
pubs.volume	125
utslib.citation.issue	3

Abstract:

© 2020, Akadémiai Kiadó, Budapest, Hungary. The ever growing volume of academic articles stresses the need for a new generation of knowledge management method to intelligently reuse the academic knowledge and facilitate the development of scientific research. Knowledge fusion (KF) serves a key element of such method addressing those needs, and breakthrough progress has taken place in the field of KF. This brings a great opportunity for the academic community to expedite the process of literature review and automatically retrieve the required knowledge from academic publications. Therefore, a survey reviewing the KF studies in terms of the related technologies and applications for valuable insights to reuse academic knowledge, which is missing from the state-of-the-art literature, is in need. Motivated to bridge this gap, this paper conducts a systematic survey reviewing the existing studies on KF, meanwhile discussing the opportunities and challenges of applying KF through academic articles. To this end, we revisit the definitions of knowledge and KF in the context of academic articles, and summarise the fusion patterns and their usage in existing applications. Furthermore, we review the techniques and applications of KF, especially those with academic articles as sources of knowledge. Finally, we discuss the challenges and future directions in order to bring new insights to researchers and practitioners to deepen their understanding of knowledge fusion and to develop versatile functions.

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http://hdl.handle.net/10453/146419