Open Knowledge Maps

About Open Knowledge Maps

Open Knowledge Maps is a visual search engine designed to help researchers and knowledge seekers explore scientific literature in an intuitive, graphical way. By leveraging AI-based search and knowledge visualization, it transforms traditional keyword-based queries into interactive maps that reveal the relationships between concepts, papers, and research areas. This approach supports literature search and research discovery by making the structure of scientific knowledge more accessible, especially for those new to a field or looking to identify key works and emerging trends. The tool is built on principles of open knowledge and open science, aiming to democratize access to scholarly information and foster collaboration across disciplines.

Unlike conventional search engines that return linear lists of results, Open Knowledge Maps presents a bird’s-eye view of a topic, clustering related publications and highlighting connections. This visual format helps users quickly grasp the landscape of a research domain, identify relevant papers, and discover unexpected links. The platform is particularly valuable for interdisciplinary research, systematic reviews, and educational contexts where understanding the broader context of scientific knowledge is essential. By promoting open science and free access to research, it aligns with the growing movement toward transparency and inclusivity in academic publishing and data sharing.