semsimian 0.2.17

Sematic similarity calculations for ontologies implemented in Rust.

semsimian

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.

Rust Installation

• cargo add semsimian

Python Installation

• Set up your virtual environment of choice.
• cd semsimian (home directory of this project)
• pip install maturin
• maturin develop
• python

Python 3.9.16 (main, Jan 11 2023, 10:02:19) 
[Clang 14.0.6 ] :: Anaconda, Inc. on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> 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.

Releases

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.