loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Pornpit Wongthongtham and Behrang Zadjabbari

Affiliation: Curtin University, Australia

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 conte xt. 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)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 174.129.59.198

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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 (IC3K 2012) - KMIS; ISBN 978-989-8565-31-0; ISSN 2184-3228, SciTePress, 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 (IC3K 2012) - KMIS},
year={2012},
pages={5-14},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004103600050014},
isbn={978-989-8565-31-0},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Management and Information Sharing (IC3K 2012) - KMIS
TI - Ontology based Knowledge Transferability and Complexity Measurement for Knowledge Sharing
SN - 978-989-8565-31-0
IS - 2184-3228
AU - Wongthongtham, P.
AU - Zadjabbari, B.
PY - 2012
SP - 5
EP - 14
DO - 10.5220/0004103600050014
PB - SciTePress