Software Centric Innovative Methodology for Ontology Development

Santhosh John, Nazaraf Shah, Craig Stewart, Leon Samlov

2017

Abstract

Ontologies are mainly used to establish ontological agreements explicitly which serves as the basis for communication between either humans or software agents. In the aspect of knowledge representation, knowledge base starts where ontology ends. Ontology Engineering, a branch of knowledge engineering derived exclusively for the methods, methodologies, techniques and technologies used for the design, development and maintenance of ontologies. Though ontology engineering and software engineering are two complementary engineering branches, there exists a significant gap between them in terms of maturity level and popularity. Absence of effective methodologies eligible to claim the tag ‘standardized’ aimed at supporting the development of large scale ontologies is one of the reasons behind the gap. This paper attempts to bridge this gap by proposing a software centric innovative methodology (SCIM) for ontology development by extending the process models of software engineering with a defined ontology development life cycle (ODLC).The proposed methodology defines the stages, workflows, activities and techniques for the development of an ontology regardless of domain in a systematic manner for the practitioners to follow.

Paper Citation

in Harvard Style

John S., Shah N., Stewart C. and Samlov L. (2017). Software Centric Innovative Methodology for Ontology Development.In Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, ISBN 978-989-758-272-1, pages 139-146. DOI: 10.5220/0006482901390146

in Bibtex Style

@conference{keod17,
author={Santhosh John and Nazaraf Shah and Craig Stewart and Leon Samlov},
title={Software Centric Innovative Methodology for Ontology Development},
booktitle={Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,},
year={2017},
pages={139-146},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006482901390146},
isbn={978-989-758-272-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,
TI - Software Centric Innovative Methodology for Ontology Development
SN - 978-989-758-272-1
AU - John S.
AU - Shah N.
AU - Stewart C.
AU - Samlov L.
PY - 2017
SP - 139
EP - 146
DO - 10.5220/0006482901390146