Open Knowledge Maps
Explore research literature visually with Open Knowledge Maps. Discover relevant papers and topics through interactive knowledge maps.
Tags:AI Learning ResourcesIntroduction to Open Knowledge Maps
Open Knowledge Maps is the world’s largest AI-based visual search engine for scientific knowledge. It offers a unique way to explore and understand academic literature by generating interactive knowledge maps that provide an instant overview of research topics. These maps cluster relevant papers and concepts, making it easier to identify key areas and connections within a field of study.
Key Features
- Visual Knowledge Maps: Interactive maps that visually represent research topics, showing main areas at a glance with relevant papers and concepts attached.
- AI-Powered Search: Utilizes artificial intelligence to analyze and organize scientific literature from various sources, enhancing the discovery process.
- Open Science Principles: Operates as a non-profit organization committed to open access and collaborative development of the platform.
- Custom Integrations: Offers services for organizations to embed Open Knowledge Maps components into their own discovery systems, enhancing their research infrastructure.
How to Use Open Knowledge Maps
- Visit the Website: Go to openknowledgemaps.org.
- Enter a Search Term: Type a research topic or keyword into the search box on the homepage.
- Select a Data Source: Choose between BASE (Bielefeld Academic Search Engine) or PubMed as your data source.
- Create Map: Click ‘Create Map’ to generate a visual knowledge map of your topic.
- Explore the Map: The map will display main topic areas as bubbles, with related papers and concepts attached to each area. Click on bubbles to expand and view more details.
- Refine Your Search: Use filters on the left sidebar to refine results by year, language, or content type.
- Save or Share: Use options in the top menu to save, export, or share your knowledge map.
Pricing
Open Knowledge Maps is a free platform for anyone to access and use for literature search and analysis. However, organizations can become supporting members to help fund the platform’s development and contribute to creating an inclusive scientific knowledge infrastructure. Supporting members are invited to co-create the platform with the Open Knowledge Maps team.
Frequently Asked Questions
- What is Open Knowledge Maps? Open Knowledge Maps is the world’s largest AI-based search engine for scientific knowledge, designed to increase the visibility of research findings for science and society.
- Is Open Knowledge Maps free to use? Yes, Open Knowledge Maps is a free platform for anyone to access and use for literature search and analysis.
- Can organizations contribute to Open Knowledge Maps? Yes, organizations can become supporting members of Open Knowledge Maps to help fund the platform’s development and contribute to creating an inclusive scientific knowledge infrastructure.
- How can I cite Open Knowledge Maps? To cite an individual map, please use the citation provided for each map. To cite the open-source software Head Start, please see the read-me on GitHub. To reference the website and the search, please use the following citation: Open Knowledge Maps (2019). Open Knowledge Maps: A Visual Interface to the World’s Scientific Knowledge. https://openknowledgemaps.org.
- How does Open Knowledge Maps determine the size of areas and documents? In the PubMed integration, the size of a paper is determined by the citation count of the paper. The more citations a paper has received, the larger it appears. The size of an area is determined by the sum of the citations that the documents in this area have received. In the BASE integration, the size of an area is determined by the number of documents it contains, with all documents being of the same size.