{"action":"opened","issue":{"url":"https://api.github.com/repos/FAIRsharing/json-schema-tools/issues/27","repository_url":"https://api.github.com/repos/FAIRsharing/json-schema-tools","labels_url":"https://api.github.com/repos/FAIRsharing/json-schema-tools/issues/27/labels{/name}","comments_url":"https://api.github.com/repos/FAIRsharing/json-schema-tools/issues/27/comments","events_url":"https://api.github.com/repos/FAIRsharing/json-schema-tools/issues/27/events","html_url":"https://github.com/FAIRsharing/json-schema-tools/issues/27","id":355607358,"node_id":"MDU6SXNzdWUzNTU2MDczNTg=","number":27,"title":"Semantic comparison at entity-level","user":{"login":"agbeltran","id":1417033,"node_id":"MDQ6VXNlcjE0MTcwMzM=","avatar_url":"https://avatars1.githubusercontent.com/u/1417033?v=4","gravatar_id":"","url":"https://api.github.com/users/agbeltran","html_url":"https://github.com/agbeltran","followers_url":"https://api.github.com/users/agbeltran/followers","following_url":"https://api.github.com/users/agbeltran/following{/other_user}","gists_url":"https://api.github.com/users/agbeltran/gists{/gist_id}","starred_url":"https://api.github.com/users/agbeltran/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/agbeltran/subscriptions","organizations_url":"https://api.github.com/users/agbeltran/orgs","repos_url":"https://api.github.com/users/agbeltran/repos","events_url":"https://api.github.com/users/agbeltran/events{/privacy}","received_events_url":"https://api.github.com/users/agbeltran/received_events","type":"User","site_admin":false},"labels":[{"id":1026122781,"node_id":"MDU6TGFiZWwxMDI2MTIyNzgx","url":"https://api.github.com/repos/FAIRsharing/json-schema-tools/labels/semdiff","name":"semdiff","color":"fff3bc","default":false}],"state":"open","locked":false,"assignee":{"login":"terazus","id":6538906,"node_id":"MDQ6VXNlcjY1Mzg5MDY=","avatar_url":"https://avatars3.githubusercontent.com/u/6538906?v=4","gravatar_id":"","url":"https://api.github.com/users/terazus","html_url":"https://github.com/terazus","followers_url":"https://api.github.com/users/terazus/followers","following_url":"https://api.github.com/users/terazus/following{/other_user}","gists_url":"https://api.github.com/users/terazus/gists{/gist_id}","starred_url":"https://api.github.com/users/terazus/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/terazus/subscriptions","organizations_url":"https://api.github.com/users/terazus/orgs","repos_url":"https://api.github.com/users/terazus/repos","events_url":"https://api.github.com/users/terazus/events{/privacy}","received_events_url":"https://api.github.com/users/terazus/received_events","type":"User","site_admin":false},"assignees":[{"login":"terazus","id":6538906,"node_id":"MDQ6VXNlcjY1Mzg5MDY=","avatar_url":"https://avatars3.githubusercontent.com/u/6538906?v=4","gravatar_id":"","url":"https://api.github.com/users/terazus","html_url":"https://github.com/terazus","followers_url":"https://api.github.com/users/terazus/followers","following_url":"https://api.github.com/users/terazus/following{/other_user}","gists_url":"https://api.github.com/users/terazus/gists{/gist_id}","starred_url":"https://api.github.com/users/terazus/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/terazus/subscriptions","organizations_url":"https://api.github.com/users/terazus/orgs","repos_url":"https://api.github.com/users/terazus/repos","events_url":"https://api.github.com/users/terazus/events{/privacy}","received_events_url":"https://api.github.com/users/terazus/received_events","type":"User","site_admin":false}],"milestone":null,"comments":0,"created_at":"2018-08-30T14:19:05Z","updated_at":"2018-08-30T14:19:05Z","closed_at":null,"author_association":"NONE","body":"Input: 2 dictionaries with information about schemas and context mappings\r\nAssumptions: \r\n- the schemas will have an enum for @type with the schema file name and the context files will provide the actual @type for the entity\r\n- phase 1: the vocabulary is the same\r\n- we will consider phase 2 for different vocabularies, and rely on ontology mapping services\r\n\r\nOutputs: \r\n- dictionary with the mapping of ontology term and a tuple of arrays of schemas from the two schema networks/graphs (a schema schema network/graph corresponds to a reporting guideline)\r\n"}}
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