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General Information
    • ISSN: 2382-6185
    • Frequency: Quarterly (2015-2016); semiyearly (Since 2017)
    • DOI: 10.18178/IJKE
    • Editor-in-Chief: Prof. Chen-Huei Chou
    • Executive Editor: Ms. Nina Lee
    • Indexed by: Google Scholar, Crossref, ProQuest
    • E-mail: ijke@ejournal.net
Prof. Chen-Huei Chou
College of Charleston, SC, USA
It is my honor to be the editor-in-chief of IJKE. I will do my best to help develop this journal better.
IJKE 2017 Vol.3(1): 25-31 ISSN: 2382-6185
doi: 10.18178/ijke.2017.3.1.082

Knowledge Management Support for Enterprise Architecture Development

Adi Wibowo
Abstract—Knowledge Management (KM) has become an important part of organization’s competitive strategy. KM in general has 3 processes, ie. create, classify, and retrieve. This three processes can be utilised to support EA Team in formulation of enterprise architecture. This paper suggests the use of knowledge chain, labels (tagging), and taxonomy to develop knowledge base that can helps EA Team in formulation process of enterprise architecture. To support the use of KM principles knowledge expert needs to become part of EA Team. Knowledge expert tasks are capture tacit knowledge into explicit knowledge, convert knowledge documents using standardized file format, specify documents’ metadata, build knowledge chain and taxonomy for EA’s knowledge base.

Index Terms—Enterprise architecture, knowledge chain, knowledge management, taxonomy.

The author is with Petra Christian University, Indonesia (e-mail: adiw@petra.ac.id).


Cite: Adi Wibowo, "Knowledge Management Support for Enterprise Architecture Development," International Journal of Knowledge Engineering vol. 3, no. 1, pp. 25-31, 2017.

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E-mail: ijke@ejournal.net