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Conceptual Modeling and Artificial Intelligence: A Systematic Mapping Study

2023/03/12 by Dominik Bork, Bork, Dominik, Syed Juned Ali +3 · 2 citations
Business, Management and Accounting · Computer Science · Decision Sciences · #Advanced Database Systems and Queries #Artificial Intelligence (cs.AI) #Business Process Modeling and Analysis #FOS: Computer and information sciences #Scientific Computing and Data Management #Software Engineering (cs.SE)

paper · pdf · doi:10.48550/arxiv.2303.06758

openalex publication_date 2023/03/12 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

In conceptual modeling (CM), humans apply abstraction to represent excerpts of reality for means of understanding and communication, and processing by machines. Artificial Intelligence (AI) is applied to vast amounts of data to automatically identify patterns or classify entities. While CM produces comprehensible and explicit knowledge representations, the outcome of AI algorithms often lacks these qualities while being able to extract knowledge from large and unstructured representations. Recently, a trend toward intertwining CM and AI emerged. This systematic mapping study shows how this interdisciplinary research field is structured, which mutual benefits are gained by the intertwining, and future research directions.

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