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Authors: Pornpit Wongthongtham and Behrang Zadjabbari

Affiliation: Curtin University, Australia

ISBN: 978-989-8565-31-0

Keyword(s): Ontology based Knowledge Transferability Measurement, Ontology based Knowledge Complexity Measurement, Knowledge Sharing.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Communication, Collaboration and Information Sharing ; Impact Measurement of Knowledge Management ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Symbolic Systems ; Tools and Technology for Knowledge Management

Abstract: Importance of knowledge sharing raises the issue of how organizations can effectively encourage individual knowledge sharing behaviour and what factors enable promote or hinder sharing of knowledge. It is important to explore the factors affecting knowledge sharing and remove barriers to participation in knowledge sharing. Willingness and ability to share knowledge and willingness and ability of receiver to achieve knowledge are one of key issues in knowledge sharing. Knowledge sharing also depends on knowledge context including the nature, definition, and properties of knowledge which influence the ease with which knowledge can be shared. In this research the context of knowledge is defined by two key variables i.e. transferability and complexity which are subject of this paper. Ontologies are used mainly to provide a shared semantically domain knowledge in a declarative formalism. Ontology specifies consensual knowledge. In this paper, ontology is applied to explore knowledge contex t. It is then used to measure transferability of knowledge between individuals from different backgrounds by comparing the similarity of their ontologies. Then the difference of the ontologies is measured its complexity in order to determine how complicated of new knowledge being shared. Ontologies are used mainly to provide a shared semantically domain knowledge in a declarative formalism. Ontology specifies consensual knowledge. In this paper, ontology is applied to explore knowledge context. It is then used to measure transferability of knowledge between individuals from different backgrounds by comparing the similarity of their ontologies. Then the difference of the ontologies is measured its complexity in order to determine how complicated of new knowledge being shared. (More)

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Paper citation in several formats:
Wongthongtham, P. and Zadjabbari, B. (2012). Ontology based Knowledge Transferability and Complexity Measurement for Knowledge Sharing.In Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2012) ISBN 978-989-8565-31-0, pages 5-14. DOI: 10.5220/0004103600050014

@conference{kmis12,
author={Pornpit Wongthongtham. and Behrang Zadjabbari.},
title={Ontology based Knowledge Transferability and Complexity Measurement for Knowledge Sharing},
booktitle={Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2012)},
year={2012},
pages={5-14},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004103600050014},
isbn={978-989-8565-31-0},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2012)
TI - Ontology based Knowledge Transferability and Complexity Measurement for Knowledge Sharing
SN - 978-989-8565-31-0
AU - Wongthongtham, P.
AU - Zadjabbari, B.
PY - 2012
SP - 5
EP - 14
DO - 10.5220/0004103600050014

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