| Issue |
ITM Web Conf.
Volume 41, 2022
International Conference on Exploring Service Science (IESS 2.2)
|
|
|---|---|---|
| Article Number | 05001 | |
| Number of page(s) | 15 | |
| Section | Digital Innovation through Smart Services | |
| DOI | https://doi.org/10.1051/itmconf/20224105001 | |
| Published online | 08 February 2022 | |
Towards Knowledge-based Smart Service Systems: The Case of a Recommender System for a Cultural Organization
1 Business School, Université du Québec à Trois-Rivières, Canada
2 The University of Danang, University of Science and Technology, Vietnam
* Corresponding author: thang.ledinh@uqtr.ca
Big data and artificial intelligence (AI) lead to a revolution that transforms conventional enterprises into data-driven organizations in which knowledge discovered from big data and processed by AI techniques will be integrated into traditional knowledge in order to provide smart services to business users. Consequently, a major concern is how to design and develop a knowledge-based smart service system for supporting AI-based applications. This paper proposes an approach for elaborating a knowledge-based smart service system and demonstrates the approach with a case study about a knowledge-based smart service system for a cultural organization. The proposed approach includes different layers such as Data-as-a-Service, Information-as-a-Service, Knowledge-as-a-Service, and Insight-as-a-Service.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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