Abstract—Despite a lot of persuasive scientific studies on the benefits of semantic technologies, Knowledge Engineering (KE) in enterprise environments is far away from wide practical implementation. The consultancy Gartner locates “Enterprise Taxonomy and Ontology Management” in its 2017 Hype Cycle for Emerging Technologies in the heart of the “Through of Disillusionment” with an expectation of 5-10 years to main-stream adoption. The paper aims at analyzing this contradic-tion and at investigating systematically the obstacles for suc-cessful and sustainable KE in enterprises. This is based on two case studies and an ethnographic study in organizations from different sectors: IT services and software production, public administration, and life sciences. For analyzing and visualizing characteristic use cases, processes and roles, methods of sys-tems analysis are applied. A focus is put on the analysis and systematization of tools and services available for KE. The results of the paper form a basic framework for the constitu-tion of KE as a business function crucial for bringing semantic technologies in enterprise environments to life.
Index Terms—Taxonomy management, ontology management, knowledge engineering roles, knowledge engineering processes, classification of tools.
Vera Meister and Wenxin Hu are with Department of Business & Management, Brandenburg University of Applied Sciences, Brandenburg an der Havel, Germany (e-mail: firstname.lastname@th-brandenburg.de).
Mariia Rizun is with Department of Informatics University of Economics in Katowice, Katowice, Poland (e-mail: mariia.rizun@uekat.pl).
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Cite: Vera Meister, Wenxin Hu, and Mariia Rizun, "Knowledge Engineering Processes and Tools in Enter-prise Environments
A Systematization Attempt
," International Journal of Knowledge Engineering vol. 4, no. 1, pp. 21-29, 2018.
