umls2rdf | python scripts connect to the Unified Medical Language
kandi X-RAY | umls2rdf Summary
kandi X-RAY | umls2rdf Summary
umls2rdf is a Python library. umls2rdf has no bugs, it has no vulnerabilities and it has low support. However umls2rdf build file is not available and it has a Non-SPDX License. You can download it from GitHub.
This project takes a MySQL Unified Medical Language System (UMLS) database and converts the ontologies to RDF using OWL and SKOS as the main schemas. Virtual Appliance users can review the [documentation in the OntoPortal Administration Guide}(
This project takes a MySQL Unified Medical Language System (UMLS) database and converts the ontologies to RDF using OWL and SKOS as the main schemas. Virtual Appliance users can review the [documentation in the OntoPortal Administration Guide}(
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Quality
Security
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Support
umls2rdf has a low active ecosystem.
It has 53 star(s) with 36 fork(s). There are 22 watchers for this library.
It had no major release in the last 6 months.
There are 10 open issues and 15 have been closed. On average issues are closed in 64 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of umls2rdf is current.
Quality
umls2rdf has 0 bugs and 0 code smells.
Security
umls2rdf has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
umls2rdf code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
umls2rdf has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
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umls2rdf releases are not available. You will need to build from source code and install.
umls2rdf has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed umls2rdf and discovered the below as its top functions. This is intended to give you an instant insight into umls2rdf implemented functionality, and help decide if they suit your requirements.
- Generate the RDF representation of the ontology .
- Load MRS tables
- Generate a list of semantic types .
- Yield all rows from the database .
- Generate the RDF with the given description .
- Get code from register
- Build the URL term .
- Return a connection to the MySQL database .
- Flattens a matrix .
- Return the code target for a given rel .
Get all kandi verified functions for this library.
umls2rdf Key Features
No Key Features are available at this moment for umls2rdf.
umls2rdf Examples and Code Snippets
No Code Snippets are available at this moment for umls2rdf.
Community Discussions
No Community Discussions are available at this moment for umls2rdf.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install umls2rdf
You can download it from GitHub.
You can use umls2rdf like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use umls2rdf like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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