Changes
On October 30, 2025 at 2:25:46 PM UTC,
-
Added resource Symbolic Learning and Knowledge Graph Embeddings to Link Prediction example (JupyterNotebook)
| f | 1 | { | f | 1 | { |
| 2 | "access_control": "", | 2 | "access_control": "", | ||
| 3 | "accrualPeriodicity": "", | 3 | "accrualPeriodicity": "", | ||
| 4 | "associated_models": "", | 4 | "associated_models": "", | ||
| 5 | "author": "Ariam Rivas", | 5 | "author": "Ariam Rivas", | ||
| 6 | "author_email": "ariam.rivas@tib.eu", | 6 | "author_email": "ariam.rivas@tib.eu", | ||
| 7 | "created": "30.10.2025", | 7 | "created": "30.10.2025", | ||
| 8 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 8 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
| 9 | "data_source": "Clinical cata", | 9 | "data_source": "Clinical cata", | ||
| 10 | "ethical": "", | 10 | "ethical": "", | ||
| 11 | "eval_metric": "", | 11 | "eval_metric": "", | ||
| 12 | "explainability": "", | 12 | "explainability": "", | ||
| 13 | "extra_authors": [ | 13 | "extra_authors": [ | ||
| 14 | { | 14 | { | ||
| 15 | "extra_author": "", | 15 | "extra_author": "", | ||
| 16 | "orcid": "" | 16 | "orcid": "" | ||
| 17 | } | 17 | } | ||
| 18 | ], | 18 | ], | ||
| 19 | "groups": [], | 19 | "groups": [], | ||
| 20 | "id": "78353937-5859-4f0d-9b30-11a85c1a8682", | 20 | "id": "78353937-5859-4f0d-9b30-11a85c1a8682", | ||
| 21 | "isopen": true, | 21 | "isopen": true, | ||
| 22 | "kr_type": "RDF Triples", | 22 | "kr_type": "RDF Triples", | ||
| 23 | "language": "English", | 23 | "language": "English", | ||
| 24 | "last_update": "30.10.2025", | 24 | "last_update": "30.10.2025", | ||
| 25 | "license_id": "cc-by", | 25 | "license_id": "cc-by", | ||
| 26 | "license_title": "Creative Commons Attribution", | 26 | "license_title": "Creative Commons Attribution", | ||
| 27 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | 27 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | ||
| 28 | "link_doc": "", | 28 | "link_doc": "", | ||
| 29 | "maintainer": "Ariam Rivas", | 29 | "maintainer": "Ariam Rivas", | ||
| 30 | "maintainer_email": "ariam.rivas@tib.eu", | 30 | "maintainer_email": "ariam.rivas@tib.eu", | ||
| 31 | "maturity": "", | 31 | "maturity": "", | ||
| 32 | "metadata_created": "2025-10-30T14:25:03.953079", | 32 | "metadata_created": "2025-10-30T14:25:03.953079", | ||
| n | 33 | "metadata_modified": "2025-10-30T14:25:03.953088", | n | 33 | "metadata_modified": "2025-10-30T14:25:46.660788", |
| 34 | "modality": "", | 34 | "modality": "", | ||
| 35 | "model_type": "Embedding models", | 35 | "model_type": "Embedding models", | ||
| 36 | "name": "clustering", | 36 | "name": "clustering", | ||
| 37 | "notes": "This jupyter notebook runs live code performing a data | 37 | "notes": "This jupyter notebook runs live code performing a data | ||
| 38 | exploration process\r\n", | 38 | exploration process\r\n", | ||
| n | 39 | "num_resources": 0, | n | 39 | "num_resources": 1, |
| 40 | "num_tags": 0, | 40 | "num_tags": 0, | ||
| 41 | "objective": "O3 Application", | 41 | "objective": "O3 Application", | ||
| 42 | "orcid": "0000-0003-4916-5220", | 42 | "orcid": "0000-0003-4916-5220", | ||
| 43 | "organization": { | 43 | "organization": { | ||
| 44 | "approval_status": "approved", | 44 | "approval_status": "approved", | ||
| 45 | "created": "2022-03-16T07:44:14.760944", | 45 | "created": "2022-03-16T07:44:14.760944", | ||
| 46 | "description": "", | 46 | "description": "", | ||
| 47 | "id": "2d2ca2a7-26f5-497b-b5a4-a559a28f3042", | 47 | "id": "2d2ca2a7-26f5-497b-b5a4-a559a28f3042", | ||
| 48 | "image_url": "2025-10-30-115240.304788luhlogocmyk.jpg", | 48 | "image_url": "2025-10-30-115240.304788luhlogocmyk.jpg", | ||
| 49 | "is_organization": true, | 49 | "is_organization": true, | ||
| 50 | "name": "ag-palm", | 50 | "name": "ag-palm", | ||
| 51 | "state": "active", | 51 | "state": "active", | ||
| 52 | "title": "GOTTFRIED WILHELM LEIBNIZ UNIVERSITAET HANNOVER", | 52 | "title": "GOTTFRIED WILHELM LEIBNIZ UNIVERSITAET HANNOVER", | ||
| 53 | "type": "organization" | 53 | "type": "organization" | ||
| 54 | }, | 54 | }, | ||
| 55 | "owner_org": "2d2ca2a7-26f5-497b-b5a4-a559a28f3042", | 55 | "owner_org": "2d2ca2a7-26f5-497b-b5a4-a559a28f3042", | ||
| 56 | "private": false, | 56 | "private": false, | ||
| 57 | "relationships_as_object": [], | 57 | "relationships_as_object": [], | ||
| 58 | "relationships_as_subject": [], | 58 | "relationships_as_subject": [], | ||
| t | 59 | "resources": [], | t | 59 | "resources": [ |
| 60 | { | ||||
| 61 | "auto_update_last_update": "", | ||||
| 62 | "cache_last_updated": null, | ||||
| 63 | "cache_url": null, | ||||
| 64 | "created": "2025-10-30T14:25:46.669084", | ||||
| 65 | "description": "Pattern Detection, Analysis and Explanation over | ||||
| 66 | Lung Cancer Knowledge Graph", | ||||
| 67 | "format": "ipynb", | ||||
| 68 | "hash": "", | ||||
| 69 | "id": "70170cc9-796c-40fa-b0a3-0da8732002ad", | ||||
| 70 | "language": "", | ||||
| 71 | "last_modified": "2025-10-30T14:25:46.654018", | ||||
| 72 | "media": "", | ||||
| 73 | "metadata_modified": "2025-10-30T14:25:46.665009", | ||||
| 74 | "mimetype": null, | ||||
| 75 | "mimetype_inner": null, | ||||
| 76 | "name": "Symbolic Learning and Knowledge Graph Embeddings", | ||||
| 77 | "package_id": "78353937-5859-4f0d-9b30-11a85c1a8682", | ||||
| 78 | "position": 0, | ||||
| 79 | "resource_type": null, | ||||
| 80 | "rights": "", | ||||
| 81 | "size": 53025, | ||||
| 82 | "state": "active", | ||||
| 83 | "url": | ||||
| 84 | -796c-40fa-b0a3-0da8732002ad/download/symboliclearning_kge-1-1.ipynb", | ||||
| 85 | "url_type": "upload" | ||||
| 86 | } | ||||
| 87 | ], | ||||
| 60 | "scale": "", | 88 | "scale": "", | ||
| 61 | "sdg": "SDG 3 Health", | 89 | "sdg": "SDG 3 Health", | ||
| 62 | "services_used_list": "", | 90 | "services_used_list": "", | ||
| 63 | "state": "draft", | 91 | "state": "draft", | ||
| 64 | "tags": [], | 92 | "tags": [], | ||
| 65 | "title": "Link Prediction example (JupyterNotebook)", | 93 | "title": "Link Prediction example (JupyterNotebook)", | ||
| 66 | "trend": "", | 94 | "trend": "", | ||
| 67 | "type": "dataset", | 95 | "type": "dataset", | ||
| 68 | "url": null, | 96 | "url": null, | ||
| 69 | "use_case": "Medicine", | 97 | "use_case": "Medicine", | ||
| 70 | "version": null | 98 | "version": null | ||
| 71 | } | 99 | } |