Changes
On October 1, 2024 at 3:34:54 PM UTC,
admin:
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Added resource LC Knowledge Graph 3 (LC-KG3) to VISE: Validated and Invalidated Symbolic Explanations for Knowledge Graph Integrity
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| 4 | "author": "Disha Purohit", | 4 | "author": "Disha Purohit", | ||
| 5 | "author_email": "disha.purohit@tib.eu", | 5 | "author_email": "disha.purohit@tib.eu", | ||
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| 10 | "doi": "10.57702/38jfs1vi", | 10 | "doi": "10.57702/38jfs1vi", | ||
| 11 | "doi_date_published": "2024-09-19", | 11 | "doi_date_published": "2024-09-19", | ||
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| 16 | "extra_authors": [ | 16 | "extra_authors": [ | ||
| 17 | { | 17 | { | ||
| 18 | "extra_author": "Yashrajsinh Chudasama", | 18 | "extra_author": "Yashrajsinh Chudasama", | ||
| 19 | "orcid": "https://orcid.org/0000-0003-3422-366X" | 19 | "orcid": "https://orcid.org/0000-0003-3422-366X" | ||
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| 22 | "extra_author": "Maria Torrente", | 22 | "extra_author": "Maria Torrente", | ||
| 23 | "orcid": "" | 23 | "orcid": "" | ||
| 24 | }, | 24 | }, | ||
| 25 | { | 25 | { | ||
| 26 | "extra_author": "Maria-Esther Vidal", | 26 | "extra_author": "Maria-Esther Vidal", | ||
| 27 | "orcid": "https://orcid.org/0000-0003-1160-8727" | 27 | "orcid": "https://orcid.org/0000-0003-1160-8727" | ||
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| 45 | "language": "English", | 45 | "language": "English", | ||
| 46 | "license_id": "cc-by", | 46 | "license_id": "cc-by", | ||
| 47 | "license_title": "Creative Commons Attribution", | 47 | "license_title": "Creative Commons Attribution", | ||
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| 50 | "maintainer": "Disha Purohit", | 50 | "maintainer": "Disha Purohit", | ||
| 51 | "maintainer_email": "disha.purohit@tib.eu", | 51 | "maintainer_email": "disha.purohit@tib.eu", | ||
| 52 | "metadata_created": "2024-09-19T13:44:11.745534", | 52 | "metadata_created": "2024-09-19T13:44:11.745534", | ||
| n | 53 | "metadata_modified": "2024-10-01T15:34:25.021904", | n | 53 | "metadata_modified": "2024-10-01T15:34:54.282361", |
| 54 | "name": | 54 | "name": | ||
| 55 | -and-invalidated-symbolic-explanations-for-knowledge-graph-integrity", | 55 | -and-invalidated-symbolic-explanations-for-knowledge-graph-integrity", | ||
| 56 | "notes": "VISE represents a novel hybrid strategy that integrates | 56 | "notes": "VISE represents a novel hybrid strategy that integrates | ||
| 57 | symbolic learning, constraint validation, and numerical learning | 57 | symbolic learning, constraint validation, and numerical learning | ||
| 58 | approaches. VISE employs KGE to capture implicit information and | 58 | approaches. VISE employs KGE to capture implicit information and | ||
| 59 | represent negation in KGs, thereby enhancing the prediction | 59 | represent negation in KGs, thereby enhancing the prediction | ||
| 60 | performance of numerical models. The experimental results demonstrate | 60 | performance of numerical models. The experimental results demonstrate | ||
| 61 | the efficacy of this hybrid technique, which effectively integrates | 61 | the efficacy of this hybrid technique, which effectively integrates | ||
| 62 | the strengths of symbolic, numerical, and constraint validation | 62 | the strengths of symbolic, numerical, and constraint validation | ||
| 63 | paradigms.\r\n\r\nThis collection includes all the data necessary to | 63 | paradigms.\r\n\r\nThis collection includes all the data necessary to | ||
| 64 | reproduce the results from the experimental evaluation of VISE at | 64 | reproduce the results from the experimental evaluation of VISE at | ||
| 65 | EXPLIMED @ ECAI'24. The data is an anonymized synthetic lung cancer | 65 | EXPLIMED @ ECAI'24. The data is an anonymized synthetic lung cancer | ||
| 66 | benchmark that comprises clinical data extracted from heterogeneous | 66 | benchmark that comprises clinical data extracted from heterogeneous | ||
| 67 | sources such as publications, clinical trials, and clinical records | 67 | sources such as publications, clinical trials, and clinical records | ||
| 68 | representing patients diagnosed with lung cancer. We evaluate the VISE | 68 | representing patients diagnosed with lung cancer. We evaluate the VISE | ||
| 69 | approach on three anonymized Lung Cancer KGs: | 69 | approach on three anonymized Lung Cancer KGs: | ||
| 70 | LC-\ud835\udc3e\ud835\udc3a1, LC-\ud835\udc3e\ud835\udc3a2,and | 70 | LC-\ud835\udc3e\ud835\udc3a1, LC-\ud835\udc3e\ud835\udc3a2,and | ||
| 71 | LC-\ud835\udc3e\ud835\udc3a3.\r\n\r\nThe collection comprises nine | 71 | LC-\ud835\udc3e\ud835\udc3a3.\r\n\r\nThe collection comprises nine | ||
| 72 | data sets of three different sizes:\r\n\r\n- LC Knowledge Graph 1 | 72 | data sets of three different sizes:\r\n\r\n- LC Knowledge Graph 1 | ||
| 73 | (LC-KG1) models 29 lung cancer patients\r\n- LC Knowledge Graph 2 | 73 | (LC-KG1) models 29 lung cancer patients\r\n- LC Knowledge Graph 2 | ||
| 74 | (LC-KG2) models 203 lung cancer patients\r\n- LC Knowledge Graph 3 | 74 | (LC-KG2) models 203 lung cancer patients\r\n- LC Knowledge Graph 3 | ||
| 75 | (LC-KG3) models 319 lung cancer patients\r\n\r\nThree distinct KGs of | 75 | (LC-KG3) models 319 lung cancer patients\r\n\r\nThree distinct KGs of | ||
| 76 | different sizes are available, each with its own characteristics. | 76 | different sizes are available, each with its own characteristics. | ||
| 77 | \r\n\r\n- \"Original KG\": The original KG comprises of anonymized | 77 | \r\n\r\n- \"Original KG\": The original KG comprises of anonymized | ||
| 78 | lung cancer patients with different medical characteristics. \r\n- | 78 | lung cancer patients with different medical characteristics. \r\n- | ||
| 79 | \"Enriched KG\": Utilizes an inductive learning technique of KG | 79 | \"Enriched KG\": Utilizes an inductive learning technique of KG | ||
| 80 | completion through self-supervised symbolic learning over the original | 80 | completion through self-supervised symbolic learning over the original | ||
| 81 | KG. \r\n- \"Transformed KG\": Denotes a transformation of the KG | 81 | KG. \r\n- \"Transformed KG\": Denotes a transformation of the KG | ||
| 82 | depending on SHACL shapes evaluated across the enriched KGs. This | 82 | depending on SHACL shapes evaluated across the enriched KGs. This | ||
| 83 | procedure is used to determine the validity of the data. \r\n\r\nVISE | 83 | procedure is used to determine the validity of the data. \r\n\r\nVISE | ||
| 84 | is also evaluated with KGs comprising 1242 lung cancer patients | 84 | is also evaluated with KGs comprising 1242 lung cancer patients | ||
| 85 | (LungCancer-OriginalKG, LungCancer-EnrichedKG, and | 85 | (LungCancer-OriginalKG, LungCancer-EnrichedKG, and | ||
| 86 | LungCancer-TransformedKG).\r\n", | 86 | LungCancer-TransformedKG).\r\n", | ||
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| 91 | "approval_status": "approved", | 91 | "approval_status": "approved", | ||
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| 257 | "name": "LC Knowledge Graph 3 (LC-KG3)", | ||||
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| 241 | } | 267 | } | ||
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| 247 | "state": "active", | 273 | "state": "active", | ||
| 248 | "tags": [ | 274 | "tags": [ | ||
| 249 | { | 275 | { | ||
| 250 | "display_name": "Knowledge Graph", | 276 | "display_name": "Knowledge Graph", | ||
| 251 | "id": "1bea6e8a-7d3e-45b6-8ebb-3c23ad1b748b", | 277 | "id": "1bea6e8a-7d3e-45b6-8ebb-3c23ad1b748b", | ||
| 252 | "name": "Knowledge Graph", | 278 | "name": "Knowledge Graph", | ||
| 253 | "state": "active", | 279 | "state": "active", | ||
| 254 | "vocabulary_id": null | 280 | "vocabulary_id": null | ||
| 255 | }, | 281 | }, | ||
| 256 | { | 282 | { | ||
| 257 | "display_name": "Symbolic Learning", | 283 | "display_name": "Symbolic Learning", | ||
| 258 | "id": "f9fd23ca-ab6c-482c-b057-06ef41faff5d", | 284 | "id": "f9fd23ca-ab6c-482c-b057-06ef41faff5d", | ||
| 259 | "name": "Symbolic Learning", | 285 | "name": "Symbolic Learning", | ||
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| 261 | "vocabulary_id": null | 287 | "vocabulary_id": null | ||
| 262 | } | 288 | } | ||
| 263 | ], | 289 | ], | ||
| 264 | "temporal_resolution": "", | 290 | "temporal_resolution": "", | ||
| 265 | "title": "VISE: Validated and Invalidated Symbolic Explanations for | 291 | "title": "VISE: Validated and Invalidated Symbolic Explanations for | ||
| 266 | Knowledge Graph Integrity", | 292 | Knowledge Graph Integrity", | ||
| 267 | "type": "dataset", | 293 | "type": "dataset", | ||
| 268 | "url": "https://github.com/SDM-TIB/VISE?tab=readme-ov-file", | 294 | "url": "https://github.com/SDM-TIB/VISE?tab=readme-ov-file", | ||
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