Journal of Information and Knowledge (Formerly SRELS Journal of Information Management)

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Ontology-Based Research Asset Management Model for Academic Environment


Affiliations
1 Panjab University, Chandigarh - 160014, India
     

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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.

Keywords

Asset Management, Information Systems, Knowledge Base, Ontology.
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About The Authors

Puneet Modgil
Panjab University, Chandigarh - 160014
India

M. Syamala Devi
Panjab University, Chandigarh - 160014
India


Notifications

  • Abed, H. N., Alicia, Y. C. T. and Zaihisma, C. C. (2013). An Ontology-Based Search Engine for Postgraduate Students Information at the Ministry of Higher Education Portal of Iraq. Intelligent Systems Design and Applications (ISDA), 2013 13th International Conference on. IEEE. https://doi.org/10.1109/ISDA.2013.6920710

  • Calvanese, D., et al. (2017). Ontop: Answering SPARQL queries over relational databases. Semantic Web, 8(3), 471-487. https://doi.org/10.3233/SW-160217

  • Castilho, L. V. and Heitor, S. L. (2010). An Ontology-Based System for Knowledge Management and Learning in Neuropediatric Physiotherapy. Smart Information and Knowledge Management. Springer, Berlin, Heidelberg; p. 283-307.https://doi.org/10.1007/978-3-642-04584-4_13

  • Gennari, J. H., et al. (2003). The evolution of Protégé: An environment for knowledge-based systems development. International Journal of Human-Computer Studies, 58(1), 89-123. https://doi.org/10.1016/S1071-5819(02)00127-1

  • Giovannini, A., et al. (2012). Ontology-based system for supporting manufacturing sustainability. Annual Reviews in Control, 36(2), 309-17. https://doi.org/10.1016/j.arcontrol.2012.09.012.

  • Krafft, D. B., et al. (2010). Vivo: Enabling national networking of scientists. ResearchGate. https://www.researchgate.net/publication/228564370_VIVO_Enabling_National_Networking_of_Scientists.

  • McGuinness, D. L. and Frank, V. H. (2004). OWL Web Ontology Language Overview. W3C Recommendation 10 February 2004. https://www.w3.org/TR/owl-features/

  • Rodriguez-Muro, M., Roman, K. and Michael, Z. (2013). Ontology-Based Data Access: Ontop of Databases. International Semantic Web Conference. Springer, Berlin, Heidelberg; p. 558-73. https://link.springer.com/chapter/10.1007/978-3-642-41335-3_35

  • Shearer, R., Boris, M. and Ian, H. (2008). HermiT: A Highly-Efficient OWL Reasoner. OWLED, 432. https://www.cs.ox.ac.uk/people/boris.motik/pubs/smh08HermiT.pdf

  • Steiner, C. M. and Dietrich, A. (2017). Validating domain ontologies: A methodology exemplified for concept maps. Cogent Education 4(1), 1263006. https://doi.org/10.1080/2331186X.2016.1263006

  • Ullah, M. A. and Syed, A. H. Ontology-Based Information Retrieval System for University: Methods and Reasoning. Emerging Technologies in Data Mining and Information Security. Springer, Singapore; 2019. p. 119-28. https://doi.org/10.1007/978-981-13-1501-5_10


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  • Ontology-Based Research Asset Management Model for Academic Environment

Abstract Views: 295  |  PDF Views: 8

Authors

Puneet Modgil
Panjab University, Chandigarh - 160014, India
M. Syamala Devi
Panjab University, Chandigarh - 160014, India

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.

Keywords


Asset Management, Information Systems, Knowledge Base, Ontology.

References