Journal of International Technology and Information Management
Document Type
Article
Abstract
Data management has become an important challenge. Good data management requires an effective approach to collecting, storing, and accessing data across the enterprise. In this paper, a knowledge modeling approach to data management is introduced with an emphasis on data requirements analysis. A knowledge model can provide a high-level view of organizational data by specifying the structure and relationships of the knowledge contents used in business processes. The proposed knowledge modeling approach is business process oriented and decision oriented. The description of the knowledge contents in the model is based on ontological specification. The model is comprised of five elements: work product, work unit, producer, stage, and modeling language. The elements of the model and the modeling process are elaborated. The proposed modeling approach is applied to the vessel chartering process in a shipping company to demonstrate its application in real-world practices.
Recommended Citation
Kim, Sung-kwan and Wang, Wenjun
(2020)
"An Integrated View of Data: Application of Knowledge Modeling to Data Management,"
Journal of International Technology and Information Management: Vol. 29:
Iss.
2, Article 4.
DOI: https://doi.org/10.58729/1941-6679.1448
Available at:
https://scholarworks.lib.csusb.edu/jitim/vol29/iss2/4
Included in
Business Administration, Management, and Operations Commons, Business Intelligence Commons, Communication Technology and New Media Commons, Computer and Systems Architecture Commons, Data Storage Systems Commons, Digital Communications and Networking Commons, Information Literacy Commons, Management Information Systems Commons, Management Sciences and Quantitative Methods Commons, Science and Technology Studies Commons, Technology and Innovation Commons