Semantic Enterprise Architecture Management

Abstract

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.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 15 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.