Abstract
Research in conceptual modeling is today undertaken in a large number of fields. We describe the results from a bibliometric analysis of major outlets for conceptual modeling research for investigating the evolution of research topics. As a basis for the study we used the openly accessible DBLP dataset which we enriched with data from related publisher’s websites and databases. Besides a descriptive analysis of the publication data, we conducted a content-based analysis of more than 3.200 papers using Latent Dirichlet Allocation. This permits to gain insights into the past trends in conceptual modeling research and derive future prospects for the community.
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Härer, F., & Fill, H. G. (2020). Past Trends and Future Prospects in Conceptual Modeling - A Bibliometric Analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12400 LNCS, pp. 34–47). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-62522-1_3
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