Validating enterprise architecture using ontology-based approach: a case study of student internship programme

Oussena, Samia and Essien, Joe (2013) Validating enterprise architecture using ontology-based approach: a case study of student internship programme. In: 3rd International Symposium ISKO-Maghreb, 08-09 November 2013, Marrakech, Morocco.

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Abstract

As the practice of Enterprise Architecture (EA)
diversifies, the schematic management of its objects, semantics
and relationship continues to be complex. Given that EA
provides support for the IT environment by simulating alignment
between dynamic business architectures, heterogeneous
application systems and incongruent technologies, the need to
ensure validation of conceptualized EA models has become also
critical. As a relatively new discipline, its disparate and
widespread methodologies makes it even more challenging to
adopt a generic approach in which models can be verified sequel
to the unavailability of unified EA modelling languages able to
describe a wide range of Information Technology domains. This
paper seeks to present an approach for addressing this challenge
through the use of ontologies and queries based on constraints
specified in the model’s motivation taxonomy. The paper is
experimental research-based and grounds its hypothesis on initial
model created using the ArchiMate modelling language. By
transforming its conceptual metamodel into a model instance, a
process which can be achieved irrespective of the modeling
language used in the design of the EA, it represents extracted
triples as resource description framework schema (RDFS) by
mapping the model artefacts directly into classes and slots using a
more conventional web ontology language. The generated RDF is
then queried using Protocol and RDF Query Language
(SPARQL) adopting the Behavior Driven Development (BDD)
concept. A case study of the Student Internship Program (SIP) is
deployed to translate information from business needs to IT
solutions encapsulating a view of abstraction of the EA. The
paper also proposes an implementation of the approach using an
open source platform that allows construction of domain models
and knowledge-based applications with ontologies and is a
contribution towards effective validation of EA through
taxonomy decomposition, systematic generation of testable EA
artifacts, creation of structural triples of model elements and
alignment of motivational goals to business behavior
specifications.

Item Type: Conference or Workshop Item (Paper)
Subjects: Computer science, knowledge and information systems
Depositing User: Vani Aul
Date Deposited: 21 Mar 2014 16:35
Last Modified: 12 Oct 2015 10:47
URI: http://repository.uwl.ac.uk/id/eprint/852

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