AutoGraph is a tool that enables rapid, automated knowledge graph generation. AutoGraph does this by mining scientific literature against a search query for keywords. From this data, an Obsidian vault is made where each mined keyword has its own markdown file containing: i) the name of the paper the keyword was scraped from and ii) links to other keywords from that paper. When two papers share a keyword, a link is established between those articles through that term. Over many papers, this allows a network of interactions between articles in a field to be visualized. The purpose of this tool is not only to establish graph-based summaries of topics but also to identify hidden links between divergent fields - largely inspired by the works of Manfred Kochen.
- Python >= 3.6
- Obsidian.md
pip3 install autograph-obsidian
Usage: autograph [OPTIONS] QUERY
Arguments:
QUERY The main search string.
Options:
-l, --limit INTEGER Number of papers to mine. Default = 500.
-v, --version Show version number and exit.
--help Show this message and exit.
e.g.
autograph 'Genetic Code Expansion' -l 100
Generating the graph with autograph
Viewing the graph with Obsidian.md
The mining of scientific literature is handled by the pygetpapers package developed by ContentMine.
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