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Evaluating effectiveness of concept maps for ontology conceptualization: a quantitative study


Iqbal, Rizwan and Azmi Murad, Masrah Azrifah and Mustapha, Aida and Khan, Abdul Attayyab and Ali, Syed Rizwan and Da Silva, Clay Palmeira (2018) Evaluating effectiveness of concept maps for ontology conceptualization: a quantitative study. In: 2018 Fourth International Conference on Information Retrieval and Knowledge Management (CAMP'18), 26-28 Mar. 2018, Le Méridien Kota Kinabalu, Sabah, Malaysia. (pp. 119-123).


Over the passage of time different techniques for conceptualizing ontologies have been presented. Conceptualization comprises a simplified vision of the objects, concepts, and other entities that are assumed to exist in some area of interest and the relations among them. The use of graphical knowledge representation formalisms with a representational vocabulary agreement of terms of conceptualization of the universe of discourse is a new high potential approach in the ontology engineering and knowledge management context. Initially, concept maps were used in the field of education and learning but soon it got popular in other areas because of its flexible and intuitive nature. It has also been proven as an effective tool to increase communication in corporate environments. In the field of ontologies, concept maps have been explored and used for facilitating different aspects of ontology development. An important reason behind this motivation is the structural resemblance of concept maps with the hierarchical structure of ontologies. This research intends to demonstrate quantitative evaluation of 2 different hypotheses related with the effectiveness of using concept maps for ontology conceptualization. Results demonstrate that concept maps instill the element of learning in the conceptualization process. Furthermore, they provide a platform for participants to resolve conflicting opinions and term ambiguities on immediate basis.

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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Computer Science and Information Technology
DOI Number: https://doi.org/10.1109/INFRKM.2018.8464766
Publisher: IEEE
Keywords: Ontology; Concept maps; Binomial test; Domain conceptualization
Depositing User: Nabilah Mustapa
Date Deposited: 16 Jun 2020 06:38
Last Modified: 16 Jun 2020 06:38
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/INFRKM.2018.8464766
URI: http://psasir.upm.edu.my/id/eprint/36981
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