Categorisation of Requirements in the Ontology-Based Framework for Employer Information Requirements (OntEIR)

Abstract

Employer Information Requirements (EIR) are the keystone for developing a successful Building Information Modelling (BIM) project. However, clients’ lack of skill and experience in categorising and defining these requirements often undermines the performance of a construction project and, ultimately, the ability of the finished product to meet their needs. By definition, EIR shortcomings include incomplete and inconsistent requirements and specifications, and whilst some work has been performed to try to address these, this area is still underdeveloped. This paper reports on the development of a transformative approach to the categorisation of requirements in a meaningful way, enabling effective filtering so that stakeholders can access just the information they need for the task at hand. The Ontology-based framework for Employer Information Requirements (OntEIR) seeks to provide a step change in categorisation by identifying ‘static’ and ‘dynamic’ requirements, including related types and sub-types. OntEIR has been rigorously validated by a group of BIM experts, and the results have revealed that this approach to categorisation significantly improved the elicitation and understanding of requirements.