Metadata-Version: 2.1
Name: schemaorg
Version: 0.1.0
Summary: Python functions for applied use of schema.org
Home-page: https://github.com/openschemas/schemaorg
Author: Vanessa Sochat
Author-email: vsoch@users.noreply.github.com
Maintainer: Vanessa Sochat
Maintainer-email: vsoch@users.noreply.github.com
License: LICENSE
Description: # schemaorg Python
        
        This module will serve functions for researchers and users to apply schema.org
        definitions to their datasets, software, and other worldly things. For 
        development functions with Python along with the web interface that
        serves the published specifications, please see [https://www.github.com/schemaorg/schemaorg](https://www.github.com/schemaorg/schemaorg).
        For versions 0.1.0 and later, the structure of the data files changed, so we provide
        schema.org 12.0 and later. For older versions of schemaorg, use versions prior
        to 12.0.
        
        ## What is this not?
        
        This library is not intended to provide advanced functions around querying the ontology,
        but rather accessing the definitions and tagging content with them.
        
        ## What is this for?
        
        Please reference the [development](https://openschemas.github.io/schemaorg/) documentation
        to read about the intended use cases that we are working on.
        
        ## Organization
        
        Generally, we are extracting metadata from datasets and software, and then shoving
        that metadata into a specification from schema.org. The final thing that we produce
        is likely to be some form of json (e.g., json-ld) that can be embedded in a web 
        page or similar, intended to power search.  Since the specific needs of a particular
        webby place may vary, along with a data type we are extracting, the module provides
        "templates" in the [templates](schemaorg/templates) directory. Specifically:
        
         - The subfolders represent different use cases. For example, [templates/google](schemaorg/templates/google) has a simple html template, and a requirements file (called a recipe) to produce a Dataset and SoftwareSourceCode.
         - Each subfolder, in an optional `__init__.py` file, also contains helper functions toward this goal. For example, the same google subfolder has such a file with a `make_person` function that users can quickly use to generate a person object.
         - For each corresponding subfolder, there is generally an example in the [examples](examples) folder that also helps to see how it works.
        
Keywords: openschemas,schema.org
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)
Classifier: Programming Language :: C
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown
