Changes
On July 16, 2024 at 12:57:05 PM UTC,
Samer Sakor:
-
No fields were updated. See the metadata diff for more details.
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| 2 | "access_rights": "", | 2 | "access_rights": "", | ||
| 3 | "accrualPeriodicity": "", | 3 | "accrualPeriodicity": "", | ||
| 4 | "author": "Disha Purohit", | 4 | "author": "Disha Purohit", | ||
| 5 | "author_email": "maria.vidal@tib.eu", | 5 | "author_email": "maria.vidal@tib.eu", | ||
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| 9 | "defined_in": "https://doi.org/10.1145/3587259.3627547", | 9 | "defined_in": "https://doi.org/10.1145/3587259.3627547", | ||
| 10 | "doi": "10.57702/y62s0xfg", | 10 | "doi": "10.57702/y62s0xfg", | ||
| 11 | "doi_date_published": "2024-07-16", | 11 | "doi_date_published": "2024-07-16", | ||
| 12 | "doi_publisher": "TIB", | 12 | "doi_publisher": "TIB", | ||
| 13 | "doi_status": true, | 13 | "doi_status": true, | ||
| 14 | "domain": "https://service.tib.eu/ldmservice", | 14 | "domain": "https://service.tib.eu/ldmservice", | ||
| 15 | "end_date": "", | 15 | "end_date": "", | ||
| 16 | "extra_authors": [ | 16 | "extra_authors": [ | ||
| 17 | { | 17 | { | ||
| 18 | "extra_author": "Yashrajsinh Chudasama", | 18 | "extra_author": "Yashrajsinh Chudasama", | ||
| 19 | "orcid": "0000-0003-3422-366X" | 19 | "orcid": "0000-0003-3422-366X" | ||
| 20 | }, | 20 | }, | ||
| 21 | { | 21 | { | ||
| 22 | "extra_author": "Ariam Rivas", | 22 | "extra_author": "Ariam Rivas", | ||
| 23 | "orcid": "0000-0003-4916-5220" | 23 | "orcid": "0000-0003-4916-5220" | ||
| 24 | }, | 24 | }, | ||
| 25 | { | 25 | { | ||
| 26 | "extra_author": "Maria-Esther Vidal", | 26 | "extra_author": "Maria-Esther Vidal", | ||
| 27 | "orcid": "0000-0003-1160-8727" | 27 | "orcid": "0000-0003-1160-8727" | ||
| 28 | } | 28 | } | ||
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| 45 | "language": "", | 45 | "language": "", | ||
| 46 | "license_id": "notspecified", | 46 | "license_id": "notspecified", | ||
| 47 | "license_title": "License not specified", | 47 | "license_title": "License not specified", | ||
| 48 | "link_orkg": "https://www.orkg.org/orkg/paper/R678448", | 48 | "link_orkg": "https://www.orkg.org/orkg/paper/R678448", | ||
| 49 | "maintainer": "", | 49 | "maintainer": "", | ||
| 50 | "maintainer_email": "", | 50 | "maintainer_email": "", | ||
| 51 | "metadata_created": "2024-04-18T14:43:53.347069", | 51 | "metadata_created": "2024-04-18T14:43:53.347069", | ||
| 52 | "metadata_modified": "2024-07-16T12:57:05.034971", | 52 | "metadata_modified": "2024-07-16T12:57:05.034971", | ||
| 53 | "name": | 53 | "name": | ||
| 54 | -capturing-of-knowledge-for-knowledge-graph-enrichment-with-learning", | 54 | -capturing-of-knowledge-for-knowledge-graph-enrichment-with-learning", | ||
| 55 | "notes": "SPaRKLE is a hybrid method that combines symbolic and | 55 | "notes": "SPaRKLE is a hybrid method that combines symbolic and | ||
| 56 | mathematical methodologies while leveraging Partial Completness | 56 | mathematical methodologies while leveraging Partial Completness | ||
| 57 | Assumption (PCA) heuristics to capture implicit information and enrich | 57 | Assumption (PCA) heuristics to capture implicit information and enrich | ||
| 58 | Knowledge Graphs (KGs). The combination of symbolic and numerical | 58 | Knowledge Graphs (KGs). The combination of symbolic and numerical | ||
| 59 | strategies offers a comprehensive approach to KG enrichment that | 59 | strategies offers a comprehensive approach to KG enrichment that | ||
| 60 | capitalizes on the strengths of both paradigms. This technique has the | 60 | capitalizes on the strengths of both paradigms. This technique has the | ||
| 61 | potential to provide more extensive, accurate, interpretable, and | 61 | potential to provide more extensive, accurate, interpretable, and | ||
| 62 | flexible knowledge representations, thereby improving the usefulness | 62 | flexible knowledge representations, thereby improving the usefulness | ||
| 63 | and efficacy of KGs across several domains.", | 63 | and efficacy of KGs across several domains.", | ||
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| 65 | "num_tags": 1, | 65 | "num_tags": 1, | ||
| 66 | "orcid": "0000-0002-1442-335X", | 66 | "orcid": "0000-0002-1442-335X", | ||
| 67 | "organization": { | 67 | "organization": { | ||
| 68 | "approval_status": "approved", | 68 | "approval_status": "approved", | ||
| 69 | "created": "2017-11-23T17:30:37.757128", | 69 | "created": "2017-11-23T17:30:37.757128", | ||
| 70 | "description": "The German National Library of Science and | 70 | "description": "The German National Library of Science and | ||
| 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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| 79 | "state": "active", | 79 | "state": "active", | ||
| 80 | "title": "TIB", | 80 | "title": "TIB", | ||
| 81 | "type": "organization" | 81 | "type": "organization" | ||
| 82 | }, | 82 | }, | ||
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| 89 | { | 89 | { | ||
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| 101 | "metadata_modified": "2024-07-16T12:56:47.114949", | 101 | "metadata_modified": "2024-07-16T12:56:47.114949", | ||
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| 104 | "name": "Family_KG", | 104 | "name": "Family_KG", | ||
| 105 | "package_id": "f4ca536c-a868-4596-a2be-235676e7badf", | 105 | "package_id": "f4ca536c-a868-4596-a2be-235676e7badf", | ||
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| 111 | "url": | 111 | "url": | ||
| 112 | "https://github.com/SDM-TIB/SPARKLE/tree/main/Results/Family_KG", | 112 | "https://github.com/SDM-TIB/SPARKLE/tree/main/Results/Family_KG", | ||
| 113 | "url_type": null | 113 | "url_type": null | ||
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| 118 | "auto_update_url": | 118 | "auto_update_url": | ||
| 119 | "https://yago-knowledge.org/downloads/yago-3", | 119 | "https://yago-knowledge.org/downloads/yago-3", | ||
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| 142 | "url_type": "upload" | 142 | "url_type": "upload" | ||
| 143 | }, | 143 | }, | ||
| 144 | { | 144 | { | ||
| 145 | "auto_update": "No", | 145 | "auto_update": "No", | ||
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| 147 | "auto_update_url": | 147 | "auto_update_url": | ||
| 148 | lliwelln/multiple-explanations/blob/main/data/french_royalty.npz.zip", | 148 | lliwelln/multiple-explanations/blob/main/data/french_royalty.npz.zip", | ||
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| 162 | "name": "FrenchRoyalty_KG", | 162 | "name": "FrenchRoyalty_KG", | ||
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| 168 | "state": "active", | 168 | "state": "active", | ||
| 169 | "url": | 169 | "url": | ||
| 170 | 7b391ba-4413-4a98-bc27-55618a3b41c0/download/french_royalty.npz-.zip", | 170 | 7b391ba-4413-4a98-bc27-55618a3b41c0/download/french_royalty.npz-.zip", | ||
| 171 | "url_type": "upload" | 171 | "url_type": "upload" | ||
| 172 | } | 172 | } | ||
| 173 | ], | 173 | ], | ||
| 174 | "services_used_list": "", | 174 | "services_used_list": "", | ||
| 175 | "spatial": "", | 175 | "spatial": "", | ||
| 176 | "spatial_resolution": "", | 176 | "spatial_resolution": "", | ||
| 177 | "start_date": "", | 177 | "start_date": "", | ||
| 178 | "state": "active", | 178 | "state": "active", | ||
| 179 | "tags": [ | 179 | "tags": [ | ||
| 180 | { | 180 | { | ||
| 181 | "display_name": "Benchmark", | 181 | "display_name": "Benchmark", | ||
| 182 | "id": "70474eb4-f8bf-42f1-bf26-7511d4f3356c", | 182 | "id": "70474eb4-f8bf-42f1-bf26-7511d4f3356c", | ||
| 183 | "name": "Benchmark", | 183 | "name": "Benchmark", | ||
| 184 | "state": "active", | 184 | "state": "active", | ||
| 185 | "vocabulary_id": null | 185 | "vocabulary_id": null | ||
| 186 | } | 186 | } | ||
| 187 | ], | 187 | ], | ||
| 188 | "temporal_resolution": "", | 188 | "temporal_resolution": "", | ||
| 189 | "title": "SPaRKLE: Symbolic caPtuRing of knowledge for Knowledge | 189 | "title": "SPaRKLE: Symbolic caPtuRing of knowledge for Knowledge | ||
| 190 | graph enrichment with LEarning", | 190 | graph enrichment with LEarning", | ||
| 191 | "type": "dataset", | 191 | "type": "dataset", | ||
| 192 | "url": "", | 192 | "url": "", | ||
| 193 | "version": "", | 193 | "version": "", | ||
| 194 | "version_note": "" | 194 | "version_note": "" | ||
| 195 | } | 195 | } |