Past Trends and Future Prospects in Conceptual Modeling - A Bibliometric Analysis

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.

Trends in Academic and Industrial Research on Business Process Management - A Computational Literature Analysis

“…The topics are sorted by cumulative weight, with the weight of a topic k and word w as occurrence measure over w assigned to k. Note that it is only possible to include identified weights of the top five words. This procedure replicates closely the approach established before in [11].…”

“…Schema of the analysis database. Fact tables (prefix F) store DBLP publications and author groups according to dimension tables (prefix D) [11]. Note: for all author groups metrics are calculated; author IDs are only stored for up to the first four authors.…”

“…As a consequence, such analyses are often limited to a subset of available sources, e.g., by considering only particular outlets. For circumventing this limitation and enhancing the analysis, automated approaches have been proposed in addition [9,10,11]. In the following we review the most recent manual and automated literature analyses of the BPM discipline.…”

Pairing conceptual modeling with machine learning

“…Conceptual modeling activities have been broadly applied in the development of information systems over a wide range of domains for varied purposes [17]. Activities and topics related to conceptual modeling have evolved over the past four decades [15,20]. Notably, Jaakkola and Thalheim [21] highlight the importance of modeling, especially with the current emphasis on the development of artificial intelligence (AI) and machine learning (ML) tasks.…”

A Bibliometric Analysis of the BPM Conference Using Computational Data Analytics

“…by considering only particular outlets. For circumventing this limitation and enhancing the analysis, automated approaches have been proposed in addition [16,9,8]. In the following we review the most recent previous, manual and automated literature analyses of the BPM discipline.…”