Authors:
Santhosh John
1
;
Nazaraf Shah
2
;
Craig Stewart
2
and
Leon Samlov
2
Affiliations:
1
Middle East College, Oman
;
2
Coventry University, United Kingdom
Keyword(s):
Hybrid Methodology, Ontology Development, Stages, Workflows, Activities, Ontology Development Life Cycle.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Data Engineering
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Symbolic Systems
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 def
ined 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.
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