In order to make your data more reusable, please generate the file shown in the title.

"FSF License Metadata API" is defined in the following site.
It is a convenient data format that can be reused.
https://wking.github.io/fsf-api/licenses-full.json

That data format can associate the license identifiers with the catalog name and "tags".
For example,

 {"licenses":{
    "apsl2": { /* fileName of choosealicense.com/_licenses/apsl2.txt  */
       "name": "Apple Public Source License",
         "identifiers": {
                "spdx": ["APSL-2.0"],
                "OSI" : ["Apple Public Source License"],
                "FSF" : ["FSF/apsl"]
                ]
            },
        "tags": [
		"libre"  /* FSF information*/,
                "patent-use" /* choosealicense information */
        ]
   }
 }

Please have a look at the data I made for a trial.
https://github.com/reversi-fun/license_doc_similality1/blob/master/config/choosealicense-attrs.json

From this json data and the similarity of the license text, you can deduce the characteristics of the unknown license.

For example, SPDX / ODC-by-1.0 is not included in choosealicense, but it can be inferred that it has characteristics similar to SPDX / ODbl-1.0.

Please look at the attached figure.
https://github.com/reversi-fun/license_doc_similality1/blob/master/data/lic_graph.sfdp.svg