A Conceptual Modeling Methodology Based on Niches and Granularity

Abstract

Abstract. This paper presents a methodology for conceptual modeling which is based on a new modeling primitive, the niche, and associated constructs granularity and reconciliation. A niche is an environment where entities interact for a specific purpose, playing specific roles, and according to the norms and constraints of that environment. Granularity refers to the relative level of power or influence of an entity within a niche. Reconciliation is a relationship from N entities onto one reconciled entity, and represents explicitly a situation where two or more different perspectives of the same entity have been reconciled, by negotiation, into a single consensus view. The methodology we propose provides a systematic method of designing conceptual models along with a process for normalising inappropriate relationships. Normalising is a prescriptive process for identifying and remedying inconsistencies within a model based on granularities. Drawing on a number of case studies, we show how niches and granularity make complexity easier to manage, highlight inaccuracies in a model, identify opportunities for achieving project goals, and reduce semantic heterogeneity.

Data Model Development for Security Information Sharing in Smart Grids

“…From more modern approaches the study of Berman and Semwayo desires attention [15]. The authors introduce a new modelling primitive, called a niche, which reflects the environment where "entities interact for a specific purpose, playing specific roles, and according to the norms and constraints of that environment".…”