Published May 24, 2025 | Version v3

SeMRA Raw Semantic Mappings Database

  • 1. ROR icon RWTH Aachen University
  • 2. ROR icon Northeastern University

Description

An automatically assembled dataset of raw semantic mappings produced by python -m semra.database. This incorporates mappings from the following places:

  1. Ontologies indexed in the Bioregistry (primary)
  2. Databases integrated in PyOBO (primary)
  3. Biomappings (secondary)
  4. Wikidata (primary/secondary)
  5. Custom resources integrated in SeMRA (primary)

This is a database of raw mapping without further processing. For processed mapping datasets, we suggest smaller domain-specific processing rules (see https://github.com/biopragmatics/semra/tree/main/notebooks/landscape for examples). It can be accessed directly via:

  • mappings.sssom.tsv.gz - loadable through any tools supporting SSSOM
  • mappings.jsonl.gz - loadable through SeMRA using semra.from_jsonl

How to Run the Web App

  1. Download all artifacts from this Record
  2. Make sure that you have Docker running locally
  3. Run sh run_on_docker.sh from the command line
  4. Navigate to http://localhost:8773 to see the SeMRA dashboard or to http://localhost:7474 for direct access to the Neo4j graph database

Licensing

Mappings are licensed according to their primary resources. These are explicitly annotated in the SSSOM file on each row (when available) and on the mapping set level in the Neo4j graph database artifacts.

Files

Files (6.1 GB)

Name Size
md5:8cdfe070e3abcec2c1e3c9858495e832
265.5 MB Download
md5:befbc9f905ff4a019643d08fc6899b0a
2.5 kB Download
md5:c365ef3b6e5e62aae8b76d42fd612baf
2.8 GB Download
md5:ef60fda61e97a4082789a0fa0e8bc5c3
904.8 MB Download
md5:f5e89cc1b012a458fb4c70d98bb84f57
384.6 MB Download
md5:3bc940416edbb7f643316151788595df
904.9 MB Download
md5:547af2c0ce55466a8ee10d3ccc674d48
7.4 kB Download
md5:32a3cd7c03406aec944382bf40107d45
462.8 MB Download
md5:8c2127613cf60e5dd084d40288cc4e77
403.5 MB Download
md5:42931847b01fa699b49e9b381d501f60
290 Bytes Download
md5:9af6bb9da88182bc863fcbb6fdbebbfb
272 Bytes Download

Additional details

Related works

Is supplement to
Preprint: 10.1101/2025.04.16.649126 (DOI)
Requires
Software: 10.5281/zenodo.8192828 (DOI)

Software

Repository URL
https://github.com/biopragmatics/semra
Programming language
Python
Development Status
Active