Data and knowledge engineering: Insights from forty years of publication
Résumé
The journal, Data and Knowledge Engineering (DKE), first published by Elsevier in 1985, has now been in existence for forty years. This journal has evolved and matured to play an important role in establishing and progressing research on conceptual modeling and related areas. To accurately characterize the history and current state of the research contributions and their impact, we analyze its publications in three phases, by employing bibliometric techniques of co-citation, bibliographic coupling, main path analysis, and topic modeling. Using descriptive bibliometrics, the results from the first phase provide an overview of the articles that have been published in the journal. It analyzes the dynamics and trend patterns of publications, specifically, their main topics and contributions. Using bibliometric mapping, the second phase identifies the journal's intellectual structure, its primary research themes, and the pathways through which knowledge is disseminated between the most influential articles. The third phase entails a comparison of DKE with other scientific journals that share at least some of its scope. In addition to delineating the strengths of DKE, we provide insights into how DKE might continue to evolve and progress the contributions to the field.
Mots clés
- Information extraction and retrieval
- Reasoning and expert systems
- Data integration and concurrency
- Data privacy and security
- Specialized databases
- Machine learning
- Ontologies and knowledge representation
- Query optimization and processing
- Data and process modeling
- Research topics and themes
- Topic modeling
- Pathways
- Data and Knowledge Engineering journal
- Bibliometrics
- Conceptual modeling