Ontology-Based Research Asset Management Model for Academic Environment
Authors
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Panjab University, Chandigarh - 160014
Puneet Modgil -
Panjab University, Chandigarh - 160014M. Syamala Devi
DOI:
https://doi.org/10.17821/srels/2020/v57i1/146800Keywords:
Asset Management, Information Systems, Knowledge Base, Ontology.Abstract
Data related to research assets are dispersed in various places and heterogeneous formats which may be structured or semi-structured in nature. This scattering of data causes a lot of repetition and inconsistencies. In this paper, we propose an Ontology-Based Research Asset Management Model (ORAM) useful for academic institutions. For this model, we created academic ontology. Data from different academic institutions is mapped to produce a single knowledge base. This mapping is performed by writing mapping rules. This unified knowledge base is integrated with web application to provide a single platform for decision-makers to retrieve information. The ORAM model is tested by developing a prototype with research assets data of various academic institutions available in structured and semi-structured formats. It is concluded that ontology plays a very important role in managing research assets effectively and efficiently.
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All the articles published in Journal of Information and Knowledge are held by the Publisher. Sarada Ranganathan Endowment for Library Science (SRELS), as a publisher requires its authors to transfer the copyright prior to publication. This will permit SRELS to reproduce, publish, distribute and archive the article in print and electronic form and also to defend against any improper use of the article.
Accepted 2020-03-03
Published 2020-02-29
