Methodological applications of AI-powered knowledge organization tools in research design

Kudzayi Savious Tarisayi

Chapter 3 in Artificial Intelligence in Postgraduate Research Methodology, 2026, pp 47-65 from Edward Elgar Publishing

Abstract: This chapter explores the integration of AI-powered knowledge organization tools within research design frameworks. Focusing on platforms like the Open Research Knowledge Graph (ORKG), Lateral, and RFLOW, it highlights their roles in enhancing literature synthesis, hypothesis generation, and data interlinking. These tools transform traditional workflows by improving research efficiency, epistemic transparency, and collaborative knowledge building across disciplines. Empirical evidence shows that adopting AI-driven systems streamlines data organization and fosters innovative methodologies. The chapter also addresses challenges and future directions for deploying these technologies, advocating for their strategic use to strengthen methodological rigor and interdisciplinary inquiry. This work advances understanding of AI's impact on research design by linking theoretical insights with practical applications.

Keywords: AI-powered knowledge organization; Research design; Open Research Knowledge Graph (ORKG); Lateral; RFLOW; Methodological innovation; Epistemic transparency (search for similar items in EconPapers)
Date: 2026
ISBN: 9781049408323
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