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CLC number: TP31; F270.7

On-line Access: 2010-03-22

Received: 2009-08-17

Revision Accepted: 2009-11-13

Crosschecked: 2010-01-19

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Journal of Zhejiang University SCIENCE C 2010 Vol.11 No.4 P.227-240

http://doi.org/10.1631/jzus.C0910508


Semantics-oriented approach for information interoperability and governance: towards user-centric enterprise architecture management


Author(s):  Imran Ghani, Choon Yeul Lee, Sung Hyun Juhn, Seung Ryul Jeong

Affiliation(s):  School of Business IT, Kookmin University, Seoul 136-702, Korea

Corresponding email(s):   imransaieen@gmail.com, cylee@kookmin.ac.kr, juhn@kookmin.ac.kr, srjeong@kookmin.ac.kr

Key Words:  Enterprise architecture management system (EAMS), Ontology, Recommender system, User-centric, Semantic Web, Framework


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Imran Ghani, Choon Yeul Lee, Sung Hyun Juhn, Seung Ryul Jeong. Semantics-oriented approach for information interoperability and governance: towards user-centric enterprise architecture management[J]. Journal of Zhejiang University Science C, 2010, 11(4): 227-240.

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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.

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