Semantic Enterprise Architecture Management

Enterprise architecture management (EAM) provides information about an enterprise and its information systems landscape for thorough analysis. Semantic technologies allow for integrating data sets from various relevant information sources within enterprises in a so-called EA repository, which serves as a comprehensive formal information base for EAM. We call this approach Semantic Enterprise Architecture Management, SEAM for short. We show how SEAM uses semantic technologies to bridge the heterogeneity between various data sets relevant for EAM, such as The Open Group Architecture Framework (TOGAF) models, Business Process Modeling Notation (BPMN) business process models and Service-oriented Architecture (SOA) models. Query answering and reasoning enable detailed analysis and consistency checks on the SEAM repository in order to discover complex dependencies and implicit knowledge.