Enterprises choose Enterprise Architecture (EA) solution, in order to overcome dynamic business challenges and in order to coordinate various enterprise elements. In this article, a solution is suggested for the Enterprise Architecture based on a conceptual model of Enterprise Ontology (EO). Enterprise Ontology provides a common structure for data collection. First, conceptual model of Enterprise Ontology based on the Zachman Framework is presented. Then, the Enterprise Architecture development process based on Enterprise Ontology is proposed. Using this solution, Staffs, stakeholders, users, architects, and systems achieved a common understanding of enterprise concepts and relationships and therefore, architecture data are collected in a correct way. The primary focus is collecting accurate architecture data instead of developing architecture artifacts; also meet the decision maker's needs by fit for purpose modeling. Finally, we demonstrate our solution in a case study and show the appropriate results and conclusions.

Enterprises choose Enterprise Architecture (EA) solution, in order to overcome dynamic business challenges and in coordinate various enterprise elements. In this article, a solution is suggested for the Enterprise Architecture development. The solution focuses on architecture data in the Enterprise Architecture development process. Data-centric architecture approach is preferred product-centric architecture approach. We suggest using Enterprise Ontology (EO) as context for collecting architecture data; Enterprise Ontology enhances quality of architecture data and lead to effective architecture results for decision-making. First, Enterprise is modeled using the ontology. Then how collecting Enterprise Architecture data based on the Enterprise Ontology is explained. Finally, the results and advantages of the solution are demonstrated.