ARSMEDICA: AN ARTIFICIAL INTELLIGENCE-DRIVEN PLATFORM FOR INTEGRATING SCHOLARLY DATABASES AND SUPPORTING SCIENTIFIC PUBLISHING IN EMERGING RESEARCH ECOSYSTEMS
Keywords:
Artificial intelligence, scholarly databases, scientific publishing, research platforms, digital research infrastructure, academic writing supportAbstract
The rapid expansion of global scientific production has created new challenges for researchers attempting to identify reliable scholarly databases, suitable journals for publication, and relevant academic events. The fragmentation of scientific information across numerous digital platforms often makes the process of scientific publishing time-consuming and inefficient. These challenges are particularly evident for students and early-career researchers who frequently lack structured access to information about publication opportunities.
This study presents ArsMedica, an artificial intelligence-driven platform designed to support researchers in navigating scholarly databases and identifying appropriate scientific publishing opportunities. The platform integrates national and international academic databases within a unified digital environment and provides tools for journal identification, publisher communication, conference monitoring, and AI-assisted academic writing.
The conceptual architecture of the system was developed through the analysis of existing research workflows and academic publishing infrastructures. The platform includes several functional modules that support different stages of the research process, including database navigation, journal discovery, editorial contact access, and manuscript preparation. The integration of artificial intelligence tools enables researchers to structure scientific texts and improve the clarity of academic writing.
The proposed platform may contribute to improving research productivity and strengthening digital research infrastructure, particularly in emerging scientific ecosystems. The development of integrated AI-driven research platforms such as ArsMedica represents a promising direction for improving access to global scientific knowledge and facilitating the dissemination of scientific research.
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