Khan, Samiya ORCID: 0000-0003-0837-5125 , Liu, Xiufeng, Shakil, Kashish A. and Alam, Mansaf (2017) A survey on scholarly data: from big data perspective. Information Processing and Management, 53 (4). pp. 923-944. ISSN 0306-4573 (Print), 1873-5371 (Online) (doi:https://doi.org/10.1016/j.ipm.2017.03.006)

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Abstract

Recently, there has been a shifting focus of organizations and governments towards digitization of academic and technical documents, adding a new facet to the concept of digital libraries. The volume, variety and velocity of this generated data, satisfies the big data definition, as a result of which, this scholarly reserve is popularly referred to as big scholarly data. In order to facilitate data analytics for big scholarly data, architectures and services for the same need to be developed. The evolving nature of research problems has made them essentially interdisciplinary. As a result, there is a growing demand for scholarly applications like collaborator discovery, expert finding and research recommendation systems, in addition to several others. This research paper investigates the current trends and identifies the existing challenges in development of a big scholarly data platform, with specific focus on directions for future research and maps them to the different phases of the big data lifecycle.

Item Type:	Article
Uncontrolled Keywords:	Scholarly data, Big data, Cloud-based big data analytics, Big scholarly data, Big data platform, Scholarly applications
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Last Modified:	20 Oct 2023 15:59
URI:	http://gala.gre.ac.uk/id/eprint/44572

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