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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/w3ghyku2", | 10 | "doi": "10.57702/w3ghyku2", | ||
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| 18 | "extra_author": "Yashrajsinh Chudasama", | 18 | "extra_author": "Yashrajsinh Chudasama", | ||
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| 59 | "maintainer": "Disha Purohit", | 59 | "maintainer": "Disha Purohit", | ||
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| 61 | "metadata_created": "2024-09-14T12:01:01.489943", | 61 | "metadata_created": "2024-09-14T12:01:01.489943", | ||
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| 63 | "name": "vise-kg", | 63 | "name": "vise-kg", | ||
| 64 | "notes": "the dataset used in the following paper:\r\nVISE: | 64 | "notes": "the dataset used in the following paper:\r\nVISE: | ||
| 65 | Validated and Invalidated Symbolic Explanations for Knowledge Graph | 65 | Validated and Invalidated Symbolic Explanations for Knowledge Graph | ||
| 66 | Integrity", | 66 | Integrity", | ||
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| 74 | Technology, abbreviated TIB, is the national library of the Federal | 74 | Technology, abbreviated TIB, is the national library of the Federal | ||
| 75 | Republic of Germany for all fields of engineering, technology, and the | 75 | Republic of Germany for all fields of engineering, technology, and the | ||
| 76 | natural sciences.", | 76 | natural sciences.", | ||
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| 181 | "state": "active", | 181 | "state": "active", | ||
| 182 | "tags": [ | 182 | "tags": [ | ||
| 183 | { | 183 | { | ||
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| 188 | "vocabulary_id": null | 188 | "vocabulary_id": null | ||
| 189 | }, | 189 | }, | ||
| 190 | { | 190 | { | ||
| 191 | "display_name": "Knowledge Graph", | 191 | "display_name": "Knowledge Graph", | ||
| 192 | "id": "12b0c897-01cf-4275-99e8-21d85c09a38d", | 192 | "id": "12b0c897-01cf-4275-99e8-21d85c09a38d", | ||
| 193 | "name": "Knowledge Graph", | 193 | "name": "Knowledge Graph", | ||
| 194 | "state": "active", | 194 | "state": "active", | ||
| 195 | "vocabulary_id": null | 195 | "vocabulary_id": null | ||
| 196 | }, | 196 | }, | ||
| 197 | { | 197 | { | ||
| 198 | "display_name": "Symbolic Learning", | 198 | "display_name": "Symbolic Learning", | ||
| 199 | "id": "42bfaed0-47e1-4b46-9f1d-95002032bff9", | 199 | "id": "42bfaed0-47e1-4b46-9f1d-95002032bff9", | ||
| 200 | "name": "Symbolic Learning", | 200 | "name": "Symbolic Learning", | ||
| 201 | "state": "active", | 201 | "state": "active", | ||
| 202 | "vocabulary_id": null | 202 | "vocabulary_id": null | ||
| 203 | } | 203 | } | ||
| 204 | ], | 204 | ], | ||
| 205 | "temporal_resolution": "", | 205 | "temporal_resolution": "", | ||
| 206 | "title": "VISE-KG", | 206 | "title": "VISE-KG", | ||
| 207 | "type": "dataset", | 207 | "type": "dataset", | ||
| 208 | "url": "https://github.com/SDM-TIB/VISE", | 208 | "url": "https://github.com/SDM-TIB/VISE", | ||
| 209 | "version": "", | 209 | "version": "", | ||
| 210 | "version_note": "" | 210 | "version_note": "" | ||
| 211 | } | 211 | } |