Openknowledgemaps.Org

Open Knowledge Maps is an AI-based search engine that provides visual overviews of research topics. It helps users find relevant research outputs and identify important concepts through interactive knowledge maps.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Mixed

About

What is openknowledgemaps.org?

Open Knowledge Maps is the world's largest AI-based search engine for scientific knowledge, designed to transform research discovery. It allows users to input keywords and generate visual, interactive knowledge maps that provide an overview of a research topic, highlight relevant resources, and identify key concepts. The platform is open and nonprofit, committed to increasing the visibility of research findings for science and society. It uses trusted data providers like PubMed and BASE, and its AI pipeline analyzes metadata to create clustered visualizations. Users can explore research topics, understand relationships between papers, and identify themes in the literature, making it an invaluable tool for researchers, students, and anyone seeking to navigate scientific information effectively.

Best used for

Ideal for researchers, students, and academics who need to get a visual overview of a research topic, find relevant research outputs, and identify important concepts. Especially valuable for quickly grasping the landscape of a scientific field and discovering connections between papers.

Common actions

visualize research topics

find scientific literature

identify key concepts

explore research landscapes

understand paper relationships

academic research visualizationscientific knowledge mappinginteractive literature exploration

Capabilities

Key features

Visual knowledge maps
AI-based search engine
Concept identification
Literature clustering
Metadata analysis
Open source software

Target Audience

professordata scientiststudentresearcher

Integrations

Not yet documented

Pricing & Plans

Open Source

Not publicly disclosed. Check openknowledgemaps.org for current pricing.

FAQs

How does Open Knowledge Maps generate its visual maps?

The tool uses an AI pipeline to analyze article metadata, including titles, abstracts, authors, journals, and subject keywords. It performs clustering and ordination algorithms on a word co-occurrence matrix to group resources and generate labels for sub-areas, creating the interactive knowledge map visualization.

What data sources does Open Knowledge Maps use for its research content?

Open Knowledge Maps primarily uses trusted data providers such as PubMed and BASE (Bielefeld Academic Search Engine). These sources are carefully reviewed to ensure they only include academic content, providing a reliable foundation for the generated knowledge maps.

Why does it sometimes take up to 30 seconds to create a knowledge map?

The process involves two main steps: first, sending the query to a data provider (PubMed or BASE) to retrieve relevant results, which takes about 15 seconds. Then, the AI pipeline analyzes this data to create the map, taking another 15 seconds. This live processing contributes to the generation time.

Can I integrate Open Knowledge Maps into my own discovery system?

Yes, Open Knowledge Maps offers Custom Services that allow organizations to embed its AI-based discovery tools into their own systems. This can complement existing discovery systems like library catalogs or enhance the visibility of specific collections.

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Subcategories trending in Research & Education

Study Assistants Knowledge Management Course Creation Scientific Computing Summarization Language Learning

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Data & Analytics › Data Visualization

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