A Generic Implementation Framework for Measuring Ontology-Based Information

DOI

10.1080/18756891.2013.856173How to use a DOI?

Keywords

Ontology, ontology engineering, Ontology semantics, Ontology measurement

Abstract

As a knowledge representation tool, ontologies have been widely applied in many fields such as knowledge management and information integration, etc. Ontology measurement is an important challenge in the field of knowledge management in order to manage the development of ontology based systems and reduce the risk of project failure. This paper proposes a generic implementation framework for stable semantic ontology measurement. Through this framework, an ontology will be measured according to its semantic enriched representation model (SERM). The SERM model of an ontology can be used for stably measuring the semantics of the ontology. Then ontology metrics are integrated into the framework to measure candidate ontologies according to its SERM model. The related experiments are made to show that the framework can effectively measure the semantics of ontologies.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Yinglong Ma
AU  - Xiaolan Zhang
AU  - Beihong Jin
AU  - Ke Lu
PY  - 2014
DA  - 2014/02/03
TI  - A Generic Implementation Framework for Measuring Ontology-Based Information
JO  - International Journal of Computational Intelligence Systems
SP  - 136
EP  - 146
VL  - 7
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2013.856173
DO  - 10.1080/18756891.2013.856173
ID  - Ma2014
ER  -