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On September 19, 2024 at 1:48:50 PM UTC,
Samer Sakor:
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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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| 18 | "extra_author": "Yashrajsinh Chudasama", | 18 | "extra_author": "Yashrajsinh Chudasama", | ||
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| 26 | "extra_author": "Maria-Esther Vidal", | 26 | "extra_author": "Maria-Esther Vidal", | ||
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| 45 | "language": "English", | 45 | "language": "English", | ||
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| 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", | ||
| 53 | "metadata_modified": "2024-09-19T13:48:49.576449", | 53 | "metadata_modified": "2024-09-19T13:48:49.576449", | ||
| 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.", | 63 | paradigms.", | ||
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| 71 | Technology, abbreviated TIB, is the national library of the Federal | 71 | Technology, abbreviated TIB, is the national library of the Federal | ||
| 72 | Republic of Germany for all fields of engineering, technology, and the | 72 | Republic of Germany for all fields of engineering, technology, and the | ||
| 73 | natural sciences.", | 73 | natural sciences.", | ||
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| 181 | { | 181 | { | ||
| 182 | "display_name": "Knowledge Graph", | 182 | "display_name": "Knowledge Graph", | ||
| 183 | "id": "1bea6e8a-7d3e-45b6-8ebb-3c23ad1b748b", | 183 | "id": "1bea6e8a-7d3e-45b6-8ebb-3c23ad1b748b", | ||
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| 188 | { | 188 | { | ||
| 189 | "display_name": "Symbolic Learning", | 189 | "display_name": "Symbolic Learning", | ||
| 190 | "id": "f9fd23ca-ab6c-482c-b057-06ef41faff5d", | 190 | "id": "f9fd23ca-ab6c-482c-b057-06ef41faff5d", | ||
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| 194 | } | 194 | } | ||
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| 196 | "temporal_resolution": "", | 196 | "temporal_resolution": "", | ||
| 197 | "title": "VISE: Validated and Invalidated Symbolic Explanations for | 197 | "title": "VISE: Validated and Invalidated Symbolic Explanations for | ||
| 198 | Knowledge Graph Integrity", | 198 | Knowledge Graph Integrity", | ||
| 199 | "type": "dataset", | 199 | "type": "dataset", | ||
| 200 | "url": "https://github.com/SDM-TIB/VISE?tab=readme-ov-file", | 200 | "url": "https://github.com/SDM-TIB/VISE?tab=readme-ov-file", | ||
| 201 | "version": "", | 201 | "version": "", | ||
| 202 | "version_note": "" | 202 | "version_note": "" | ||
| 203 | } | 203 | } |