Semantic Enterprise Architecture Management

被引：6

作者：

Chen, Willy ^{[1
]}

Hess, Claudia ^{[1
]}

Langermeier, Melanie ^{[2
]}

Stuelpnagel, Janno ^{[1
]}

Diefenthaler, Philipp ^{[1
,2
]}

机构：

[1] Softplant GmbH, Munich, Germany

[2] Univ Augsburg, Dept Comp Sci, Augsburg, Germany

来源：

ICEIS: PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS - VOL 3 | 2013年

关键词：

Semantic Web Technology; Enterprise Architecture Management; Ontology;

D O I：

10.5220/0004445003180325

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：318 / 325

页数：8

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