Semsimian is a package to provide fast semantic similarity calculations for ontologies. It is a Rust library with a Python interface.
This includes implementation of Jaccard and Resnik similarity of terms in an ontology, as well as a method to calculate the similarity of two sets of terms (so-called termset similarity). Other methods will be added in the future.
Semsimian is currently integrated into OAK and the Monarch app to provide fast semantic similarity calculations.
cargo add semsimiansemsimian (home directory of this project)pip install maturinmaturin developpythonPython 3.9.16 (main, Jan 11 2023, 10:02:19)
[Clang 14.0.6 ] :: Anaconda, Inc. on darwin
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>>> from semsimian import Semsimian
>>> s = Semsimian([('banana', 'is_a', 'fruit'), ('cherry', 'is_a', 'fruit')])
>>> s.jaccard_similarity('banana', 'cherry')
This should yield a value of 1.0.
As of version 0.2.11, the semsimian source is released on GitHub, with a corresponding set of Python wheels released to PyPi and a corresponding release in crates.io.
FAQs
Sematic similarity calculations for ontologies implemented in Rust.
We found that semsimian demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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