Open Knowledge Maps is designed to revolutionize the discovery of scientific knowledge by providing a visual interface that enhances visibility and access to research findings. Operating as a charitable nonprofit organization, the platform utilizes artificial intelligence to create knowledge maps, which present an overview of a specific research topic, showcasing main areas and related documents. Users can easily find open content, identify relevant concepts, and view documents clustered by similarity. The service emphasizes the importance of having an inclusive and equitable research infrastructure for society, contributing to the principles of open science. Supported by various educational and research organizations, Open Knowledge Maps also offers customization options for integrating its discovery tools into existing systems to enhance research accessibility.
• custom services for organizations
• support for open access documents
• integration with pubmed and base
• ai-driven document clustering
• visual interface for displaying research findings
We use the relevance ranking from either the PubMed API or BASE API, based on text similarity between your query and article metadata.
We aim to keep the document numbers manageable, allowing for a clearer overview while investigating ways to enable exploration of larger content.
Processing live queries and analyzing data takes time, but we're committed to reducing this by potentially creating our own index.
We use trusted data providers like BASE and PubMed, but mistakes can occur. Users can report any unscientific content.
Grouping is based on article metadata, including titles, abstracts, authors, journals, and keywords.
As a charitable nonprofit organization, funding comes from collective efforts and organizations invited to become supporting members.
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