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Improving the Ergonomics of the Master Data Management System Using Annotated Metagraph

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Intelligent Computing and Optimization (ICO 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 855))

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Abstract

The article highlights the importance of human-oriented design of information systems. A data model is proposed and considered for the asset master data management system in the form of a multilayer graph forest based on the nature of the relationships between enterprise assets. The structure of this data model is described. An equivalent replacement of this data model with an annotated metagraph is proposed. A typical analysis problem solved by the user of such a system is highlighted and ergonomic problems that need to be solved are stated. A solution to these problems is proposed using the entity-resolution algorithm and a decision is made about the ergonomic failure of this solution. An approach is proposed to modernize the user interface by replacing a multilayer graph forest with an annotated metagraph. The ergonomic improvement of the user interface and its positive impact on usability are described.

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Correspondence to D. R. Nikolsky .

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Nikolsky, D.R., Sukhobokov, A.A., B.S., G. (2023). Improving the Ergonomics of the Master Data Management System Using Annotated Metagraph. In: Vasant, P., et al. Intelligent Computing and Optimization. ICO 2023. Lecture Notes in Networks and Systems, vol 855. Springer, Cham. https://doi.org/10.1007/978-3-031-50158-6_8

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