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| Content Provider | Springer Nature Link |
|---|---|
| Author | Ghani, Imran Lee, Choon Yeul Juhn, Sung Hyun Jeong, Seung Ryul |
| Copyright Year | 2010 |
| Abstract | Enterprise architecture (EA) efforts focus on business, technology, data, and application architecture, and their integration. However, less attention has been given to one of the most critical EA elements, i.e., users (EA audiences). As a result, existing EA management systems (EAMS) have become old, large, content-centric document-repositories that are unable to provide meaningful information of use to the enterprise users and aligned with their needs and functional scope. We argue that a semantic technology based mechanism focusing on enterprise information and user-centricity has the potential to solve this problem. In this context, we present a novel ontology-based strategy named the user-centric semantics-oriented EA (U-SEA) model. Based on this model, we have developed a user-centric semantics-oriented enterprise architecture management (U-SEAM) system. Our approach is generic enough to be used in a wide variety of user-centric EAM applications. The results obtained show computational feasibility to integrate and govern enterprise information and to reduce complexity with respect to interoperability between enterprise information and users. |
| Starting Page | 227 |
| Ending Page | 240 |
| Page Count | 14 |
| File Format | |
| ISSN | 18691951 |
| Journal | Journal of Zhejiang University SCIENCE C |
| Volume Number | 11 |
| Issue Number | 4 |
| e-ISSN | 1869196X |
| Language | English |
| Publisher | SP Zhejiang University Press |
| Publisher Date | 2010-02-27 |
| Publisher Place | Heidelberg |
| Access Restriction | Subscribed |
| Subject Keyword | Enterprise architecture management system (EAMS) Ontology Recommender system User-centric Semantic Web Framework Communications Engineering, Networks Electronics and Microelectronics, Instrumentation Computer Systems Organization and Communication Networks Computer Hardware Electrical Engineering Computer Science |
| Content Type | Text |
| Resource Type | Article |
| Subject | Engineering |
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