Changes
On October 1, 2024 at 3:30:00 PM UTC, admin:
-
Added resource LC Knowledge Graph 1 (LC-KG1) to VISE-KG
f | 1 | { | f | 1 | { |
2 | "access_rights": "Public", | 2 | "access_rights": "Public", | ||
3 | "accrualPeriodicity": "", | 3 | "accrualPeriodicity": "", | ||
4 | "author": "Disha Purohit", | 4 | "author": "Disha Purohit", | ||
5 | "author_email": "disha.purohit@tib.eu", | 5 | "author_email": "disha.purohit@tib.eu", | ||
6 | "citation": [], | 6 | "citation": [], | ||
7 | "conformsTo": "", | 7 | "conformsTo": "", | ||
8 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 8 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
9 | "defined_in": "", | 9 | "defined_in": "", | ||
10 | "doi": "10.57702/w3ghyku2", | 10 | "doi": "10.57702/w3ghyku2", | ||
11 | "doi_date_published": "2024-09-14", | 11 | "doi_date_published": "2024-09-14", | ||
12 | "doi_publisher": "TIB", | 12 | "doi_publisher": "TIB", | ||
13 | "doi_status": true, | 13 | "doi_status": true, | ||
14 | "domain": "https://ldm.kisski.de", | 14 | "domain": "https://ldm.kisski.de", | ||
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": "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": "0000-0003-1160-8727" | 27 | "orcid": "0000-0003-1160-8727" | ||
28 | } | 28 | } | ||
29 | ], | 29 | ], | ||
30 | "extras": [ | 30 | "extras": [ | ||
31 | { | 31 | { | ||
32 | "__extras": { | 32 | "__extras": { | ||
33 | "id": "139e8ada-fd35-4f45-8601-adb4fcdf0291", | 33 | "id": "139e8ada-fd35-4f45-8601-adb4fcdf0291", | ||
34 | "package_id": "69043d59-72e2-4714-b914-dfced3f87b9a", | 34 | "package_id": "69043d59-72e2-4714-b914-dfced3f87b9a", | ||
35 | "state": "active" | 35 | "state": "active" | ||
36 | }, | 36 | }, | ||
37 | "key": "", | 37 | "key": "", | ||
38 | "value": "" | 38 | "value": "" | ||
39 | } | 39 | } | ||
40 | ], | 40 | ], | ||
41 | "groups": [ | 41 | "groups": [ | ||
42 | { | 42 | { | ||
43 | "description": "", | 43 | "description": "", | ||
44 | "display_name": "Medicine", | 44 | "display_name": "Medicine", | ||
45 | "id": "c25b6cbf-8d2e-43be-80e5-b1f5a72d9c99", | 45 | "id": "c25b6cbf-8d2e-43be-80e5-b1f5a72d9c99", | ||
46 | "image_display_url": "", | 46 | "image_display_url": "", | ||
47 | "name": "medicine", | 47 | "name": "medicine", | ||
48 | "title": "Medicine" | 48 | "title": "Medicine" | ||
49 | } | 49 | } | ||
50 | ], | 50 | ], | ||
51 | "id": "69043d59-72e2-4714-b914-dfced3f87b9a", | 51 | "id": "69043d59-72e2-4714-b914-dfced3f87b9a", | ||
52 | "isopen": true, | 52 | "isopen": true, | ||
53 | "landing_page": "", | 53 | "landing_page": "", | ||
54 | "language": "English", | 54 | "language": "English", | ||
55 | "license_id": "cc-by", | 55 | "license_id": "cc-by", | ||
56 | "license_title": "Creative Commons Attribution", | 56 | "license_title": "Creative Commons Attribution", | ||
57 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | 57 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | ||
58 | "link_orkg": "", | 58 | "link_orkg": "", | ||
59 | "maintainer": "Disha Purohit", | 59 | "maintainer": "Disha Purohit", | ||
60 | "maintainer_email": "disha.purohit@tib.eu", | 60 | "maintainer_email": "disha.purohit@tib.eu", | ||
61 | "metadata_created": "2024-09-14T12:01:01.489943", | 61 | "metadata_created": "2024-09-14T12:01:01.489943", | ||
n | 62 | "metadata_modified": "2024-10-01T15:27:36.562610", | n | 62 | "metadata_modified": "2024-10-01T15:29:49.662240", |
63 | "name": "vise-kg", | 63 | "name": "vise-kg", | ||
64 | "notes": "VISE: Validated and Invalidated Symbolic Explanations for | 64 | "notes": "VISE: Validated and Invalidated Symbolic Explanations for | ||
65 | Knowledge Graph Integrity\r\n\r\nThis collection includes all the data | 65 | Knowledge Graph Integrity\r\n\r\nThis collection includes all the data | ||
66 | necessary to reproduce the results from the experimental evaluation of | 66 | necessary to reproduce the results from the experimental evaluation of | ||
67 | VISE at EXPLIMED @ ECAI'24.\r\nThe data is an anonymized synthetic | 67 | VISE at EXPLIMED @ ECAI'24.\r\nThe data is an anonymized synthetic | ||
68 | lung cancer benchmark that comprises clinical data extracted from | 68 | lung cancer benchmark that comprises clinical data extracted from | ||
69 | heterogeneous sources such as publications, clinical trials, and | 69 | heterogeneous sources such as publications, clinical trials, and | ||
70 | clinical records representing patients diagnosed with lung cancer. We | 70 | clinical records representing patients diagnosed with lung cancer. We | ||
71 | evaluate the VISE approach on three anonymized Lung Cancer KGs: | 71 | evaluate the VISE approach on three anonymized Lung Cancer KGs: | ||
72 | LC-\ud835\udc3e\ud835\udc3a1, LC-\ud835\udc3e\ud835\udc3a2,and | 72 | LC-\ud835\udc3e\ud835\udc3a1, LC-\ud835\udc3e\ud835\udc3a2,and | ||
73 | LC-\ud835\udc3e\ud835\udc3a3\r\n\r\nThe collection comprises nine data | 73 | LC-\ud835\udc3e\ud835\udc3a3\r\n\r\nThe collection comprises nine data | ||
74 | sets of three different sizes:\r\n\r\n- LC Knowledge Graph 1 (LC-KG1) | 74 | sets of three different sizes:\r\n\r\n- LC Knowledge Graph 1 (LC-KG1) | ||
75 | models 29 lung cancer patients\r\n- LC Knowledge Graph 2 (LC-KG2) | 75 | models 29 lung cancer patients\r\n- LC Knowledge Graph 2 (LC-KG2) | ||
76 | models 203 lung cancer patients\r\n- LC Knowledge Graph 3 (LC-KG3) | 76 | models 203 lung cancer patients\r\n- LC Knowledge Graph 3 (LC-KG3) | ||
77 | models 319 lung cancer patients\r\n\r\nThree distinct KGs of different | 77 | models 319 lung cancer patients\r\n\r\nThree distinct KGs of different | ||
78 | sizes are available, each with its own characteristics. \r\n\r\n- | 78 | sizes are available, each with its own characteristics. \r\n\r\n- | ||
79 | \"Original KG\": The original KG comprises of anonymized lung cancer | 79 | \"Original KG\": The original KG comprises of anonymized lung cancer | ||
80 | patients with different medical characteristics. \r\n- \"Enriched | 80 | patients with different medical characteristics. \r\n- \"Enriched | ||
81 | KG\": Utilizes an inductive learnng technique of KG completion through | 81 | KG\": Utilizes an inductive learnng technique of KG completion through | ||
82 | self-supervised symbolic learning over the original KG. \r\n- | 82 | self-supervised symbolic learning over the original KG. \r\n- | ||
83 | \"Transformed KG\": Denotes a transformation of the KG depending on | 83 | \"Transformed KG\": Denotes a transformation of the KG depending on | ||
84 | SHACL shapes evaluated across the enriched KGs. This procedure is used | 84 | SHACL shapes evaluated across the enriched KGs. This procedure is used | ||
85 | to determine the validity of the data. \r\n\r\nVISE is also evaluated | 85 | to determine the validity of the data. \r\n\r\nVISE is also evaluated | ||
86 | with KGs comprising 1242 lung cancer patients (LungCancer-OriginalKG, | 86 | with KGs comprising 1242 lung cancer patients (LungCancer-OriginalKG, | ||
87 | LungCancer-EnrichedKG, and LungCancer-TransformedKG).\r\n\r\nOur | 87 | LungCancer-EnrichedKG, and LungCancer-TransformedKG).\r\n\r\nOur | ||
88 | experimental results demonstrate the effectiveness of this hybrid | 88 | experimental results demonstrate the effectiveness of this hybrid | ||
89 | strategy, which combines the strengths of symbolic, numerical, and | 89 | strategy, which combines the strengths of symbolic, numerical, and | ||
90 | constraint validation\r\nparadigms. VISE implementation is publicly | 90 | constraint validation\r\nparadigms. VISE implementation is publicly | ||
91 | accessible on GitHub (https://github.com/SDM-TIB/VISE).", | 91 | accessible on GitHub (https://github.com/SDM-TIB/VISE).", | ||
n | 92 | "num_resources": 3, | n | 92 | "num_resources": 4, |
93 | "num_tags": 3, | 93 | "num_tags": 3, | ||
94 | "orcid": "0000-0002-1442-335X", | 94 | "orcid": "0000-0002-1442-335X", | ||
95 | "organization": { | 95 | "organization": { | ||
96 | "approval_status": "approved", | 96 | "approval_status": "approved", | ||
97 | "created": "2017-11-23T17:30:37.757128", | 97 | "created": "2017-11-23T17:30:37.757128", | ||
98 | "description": "The German National Library of Science and | 98 | "description": "The German National Library of Science and | ||
99 | Technology, abbreviated TIB, is the national library of the Federal | 99 | Technology, abbreviated TIB, is the national library of the Federal | ||
100 | Republic of Germany for all fields of engineering, technology, and the | 100 | Republic of Germany for all fields of engineering, technology, and the | ||
101 | natural sciences.", | 101 | natural sciences.", | ||
102 | "id": "0c5362f5-b99e-41db-8256-3d0d7549bf4d", | 102 | "id": "0c5362f5-b99e-41db-8256-3d0d7549bf4d", | ||
103 | "image_url": | 103 | "image_url": | ||
104 | 3conf/ext/tib_tmpl_bootstrap/Resources/Public/images/TIB_Logo_en.png", | 104 | 3conf/ext/tib_tmpl_bootstrap/Resources/Public/images/TIB_Logo_en.png", | ||
105 | "is_organization": true, | 105 | "is_organization": true, | ||
106 | "name": "tib", | 106 | "name": "tib", | ||
107 | "state": "active", | 107 | "state": "active", | ||
108 | "title": "TIB", | 108 | "title": "TIB", | ||
109 | "type": "organization" | 109 | "type": "organization" | ||
110 | }, | 110 | }, | ||
111 | "owner_org": "0c5362f5-b99e-41db-8256-3d0d7549bf4d", | 111 | "owner_org": "0c5362f5-b99e-41db-8256-3d0d7549bf4d", | ||
112 | "page": "", | 112 | "page": "", | ||
113 | "private": false, | 113 | "private": false, | ||
114 | "relationships_as_object": [], | 114 | "relationships_as_object": [], | ||
115 | "relationships_as_subject": [], | 115 | "relationships_as_subject": [], | ||
116 | "resources": [ | 116 | "resources": [ | ||
117 | { | 117 | { | ||
118 | "auto_update": "No", | 118 | "auto_update": "No", | ||
119 | "auto_update_last_update": "", | 119 | "auto_update_last_update": "", | ||
120 | "auto_update_url": "", | 120 | "auto_update_url": "", | ||
121 | "cache_last_updated": null, | 121 | "cache_last_updated": null, | ||
122 | "cache_url": null, | 122 | "cache_url": null, | ||
123 | "created": "2024-09-14T12:01:25.289289", | 123 | "created": "2024-09-14T12:01:25.289289", | ||
124 | "description": "Anonymized LungCancer-OriginalKG", | 124 | "description": "Anonymized LungCancer-OriginalKG", | ||
125 | "format": "NT", | 125 | "format": "NT", | ||
126 | "hash": "", | 126 | "hash": "", | ||
127 | "id": "0a16870f-8c11-414e-8e40-1ce2d7f8c0a8", | 127 | "id": "0a16870f-8c11-414e-8e40-1ce2d7f8c0a8", | ||
128 | "language": "English", | 128 | "language": "English", | ||
129 | "last_modified": "2024-09-14T12:01:25.271055", | 129 | "last_modified": "2024-09-14T12:01:25.271055", | ||
130 | "media": "", | 130 | "media": "", | ||
131 | "metadata_modified": "2024-09-16T09:55:35.830398", | 131 | "metadata_modified": "2024-09-16T09:55:35.830398", | ||
132 | "mimetype": null, | 132 | "mimetype": null, | ||
133 | "mimetype_inner": null, | 133 | "mimetype_inner": null, | ||
134 | "name": "LungCancer-OriginalKG", | 134 | "name": "LungCancer-OriginalKG", | ||
135 | "package_id": "69043d59-72e2-4714-b914-dfced3f87b9a", | 135 | "package_id": "69043d59-72e2-4714-b914-dfced3f87b9a", | ||
136 | "position": 0, | 136 | "position": 0, | ||
137 | "resource_type": null, | 137 | "resource_type": null, | ||
138 | "rights": "", | 138 | "rights": "", | ||
139 | "size": 2350495, | 139 | "size": 2350495, | ||
140 | "state": "active", | 140 | "state": "active", | ||
141 | "url": | 141 | "url": | ||
142 | 16870f-8c11-414e-8e40-1ce2d7f8c0a8/download/lungcancer-originalkg.nt", | 142 | 16870f-8c11-414e-8e40-1ce2d7f8c0a8/download/lungcancer-originalkg.nt", | ||
143 | "url_type": "upload" | 143 | "url_type": "upload" | ||
144 | }, | 144 | }, | ||
145 | { | 145 | { | ||
146 | "auto_update": "No", | 146 | "auto_update": "No", | ||
147 | "auto_update_last_update": "", | 147 | "auto_update_last_update": "", | ||
148 | "auto_update_url": "", | 148 | "auto_update_url": "", | ||
149 | "cache_last_updated": null, | 149 | "cache_last_updated": null, | ||
150 | "cache_url": null, | 150 | "cache_url": null, | ||
151 | "created": "2024-09-14T12:02:06.217600", | 151 | "created": "2024-09-14T12:02:06.217600", | ||
152 | "description": "Anonymized LungCancer-TransformedKG ", | 152 | "description": "Anonymized LungCancer-TransformedKG ", | ||
153 | "format": "", | 153 | "format": "", | ||
154 | "hash": "", | 154 | "hash": "", | ||
155 | "id": "9ff29cf3-a9d2-4900-8184-b2956b382ee9", | 155 | "id": "9ff29cf3-a9d2-4900-8184-b2956b382ee9", | ||
156 | "language": "", | 156 | "language": "", | ||
157 | "last_modified": "2024-09-14T12:02:06.200894", | 157 | "last_modified": "2024-09-14T12:02:06.200894", | ||
158 | "media": "", | 158 | "media": "", | ||
159 | "metadata_modified": "2024-09-16T09:56:30.466188", | 159 | "metadata_modified": "2024-09-16T09:56:30.466188", | ||
160 | "mimetype": null, | 160 | "mimetype": null, | ||
161 | "mimetype_inner": null, | 161 | "mimetype_inner": null, | ||
162 | "name": "LungCancer-TransformedKG", | 162 | "name": "LungCancer-TransformedKG", | ||
163 | "package_id": "69043d59-72e2-4714-b914-dfced3f87b9a", | 163 | "package_id": "69043d59-72e2-4714-b914-dfced3f87b9a", | ||
164 | "position": 1, | 164 | "position": 1, | ||
165 | "resource_type": null, | 165 | "resource_type": null, | ||
166 | "rights": "", | 166 | "rights": "", | ||
167 | "size": 83634, | 167 | "size": 83634, | ||
168 | "state": "active", | 168 | "state": "active", | ||
169 | "url": | 169 | "url": | ||
170 | cf3-a9d2-4900-8184-b2956b382ee9/download/lungcancer-transformedkg.nt", | 170 | cf3-a9d2-4900-8184-b2956b382ee9/download/lungcancer-transformedkg.nt", | ||
171 | "url_type": "upload" | 171 | "url_type": "upload" | ||
172 | }, | 172 | }, | ||
173 | { | 173 | { | ||
174 | "auto_update": "No", | 174 | "auto_update": "No", | ||
175 | "auto_update_last_update": "", | 175 | "auto_update_last_update": "", | ||
176 | "auto_update_url": "", | 176 | "auto_update_url": "", | ||
177 | "cache_last_updated": null, | 177 | "cache_last_updated": null, | ||
178 | "cache_url": null, | 178 | "cache_url": null, | ||
179 | "created": "2024-09-14T12:02:33.213210", | 179 | "created": "2024-09-14T12:02:33.213210", | ||
180 | "description": "Anonymized LungCancer-EnrichedKG", | 180 | "description": "Anonymized LungCancer-EnrichedKG", | ||
181 | "format": "", | 181 | "format": "", | ||
182 | "hash": "", | 182 | "hash": "", | ||
183 | "id": "c87d162d-eda3-4157-ab9b-0e019307182e", | 183 | "id": "c87d162d-eda3-4157-ab9b-0e019307182e", | ||
184 | "language": "", | 184 | "language": "", | ||
185 | "last_modified": "2024-09-14T12:02:33.196218", | 185 | "last_modified": "2024-09-14T12:02:33.196218", | ||
186 | "media": "", | 186 | "media": "", | ||
187 | "metadata_modified": "2024-09-16T09:56:57.950904", | 187 | "metadata_modified": "2024-09-16T09:56:57.950904", | ||
188 | "mimetype": null, | 188 | "mimetype": null, | ||
189 | "mimetype_inner": null, | 189 | "mimetype_inner": null, | ||
190 | "name": "LungCancer-EnrichedKG", | 190 | "name": "LungCancer-EnrichedKG", | ||
191 | "package_id": "69043d59-72e2-4714-b914-dfced3f87b9a", | 191 | "package_id": "69043d59-72e2-4714-b914-dfced3f87b9a", | ||
192 | "position": 2, | 192 | "position": 2, | ||
193 | "resource_type": null, | 193 | "resource_type": null, | ||
194 | "rights": "", | 194 | "rights": "", | ||
195 | "size": 83374, | 195 | "size": 83374, | ||
196 | "state": "active", | 196 | "state": "active", | ||
197 | "url": | 197 | "url": | ||
198 | 7d162d-eda3-4157-ab9b-0e019307182e/download/lungcancer-enrichedkg.nt", | 198 | 7d162d-eda3-4157-ab9b-0e019307182e/download/lungcancer-enrichedkg.nt", | ||
199 | "url_type": "upload" | 199 | "url_type": "upload" | ||
t | t | 200 | }, | ||
201 | { | ||||
202 | "auto_update_last_update": "", | ||||
203 | "cache_last_updated": null, | ||||
204 | "cache_url": null, | ||||
205 | "created": "2024-10-01T15:29:49.682253", | ||||
206 | "description": "", | ||||
207 | "format": "ZIP", | ||||
208 | "hash": "", | ||||
209 | "id": "6f9fc26c-d3ce-476a-a342-f8cfb7b02207", | ||||
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211 | "last_modified": "2024-10-01T15:29:49.648698", | ||||
212 | "media": "", | ||||
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214 | "mimetype": "application/zip", | ||||
215 | "mimetype_inner": null, | ||||
216 | "name": "LC Knowledge Graph 1 (LC-KG1)", | ||||
217 | "package_id": "69043d59-72e2-4714-b914-dfced3f87b9a", | ||||
218 | "position": 3, | ||||
219 | "resource_type": null, | ||||
220 | "rights": "", | ||||
221 | "size": 10564, | ||||
222 | "state": "active", | ||||
223 | "url": | ||||
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225 | "url_type": "upload" | ||||
200 | } | 226 | } | ||
201 | ], | 227 | ], | ||
202 | "services_used_list": "", | 228 | "services_used_list": "", | ||
203 | "spatial": "", | 229 | "spatial": "", | ||
204 | "spatial_resolution": "", | 230 | "spatial_resolution": "", | ||
205 | "start_date": "", | 231 | "start_date": "", | ||
206 | "state": "active", | 232 | "state": "active", | ||
207 | "tags": [ | 233 | "tags": [ | ||
208 | { | 234 | { | ||
209 | "display_name": "Health-care", | 235 | "display_name": "Health-care", | ||
210 | "id": "9483f09b-a7a4-4ad6-a737-882fe99975d4", | 236 | "id": "9483f09b-a7a4-4ad6-a737-882fe99975d4", | ||
211 | "name": "Health-care", | 237 | "name": "Health-care", | ||
212 | "state": "active", | 238 | "state": "active", | ||
213 | "vocabulary_id": null | 239 | "vocabulary_id": null | ||
214 | }, | 240 | }, | ||
215 | { | 241 | { | ||
216 | "display_name": "Knowledge Graph", | 242 | "display_name": "Knowledge Graph", | ||
217 | "id": "12b0c897-01cf-4275-99e8-21d85c09a38d", | 243 | "id": "12b0c897-01cf-4275-99e8-21d85c09a38d", | ||
218 | "name": "Knowledge Graph", | 244 | "name": "Knowledge Graph", | ||
219 | "state": "active", | 245 | "state": "active", | ||
220 | "vocabulary_id": null | 246 | "vocabulary_id": null | ||
221 | }, | 247 | }, | ||
222 | { | 248 | { | ||
223 | "display_name": "Symbolic Learning", | 249 | "display_name": "Symbolic Learning", | ||
224 | "id": "42bfaed0-47e1-4b46-9f1d-95002032bff9", | 250 | "id": "42bfaed0-47e1-4b46-9f1d-95002032bff9", | ||
225 | "name": "Symbolic Learning", | 251 | "name": "Symbolic Learning", | ||
226 | "state": "active", | 252 | "state": "active", | ||
227 | "vocabulary_id": null | 253 | "vocabulary_id": null | ||
228 | } | 254 | } | ||
229 | ], | 255 | ], | ||
230 | "temporal_resolution": "", | 256 | "temporal_resolution": "", | ||
231 | "title": "VISE-KG", | 257 | "title": "VISE-KG", | ||
232 | "type": "dataset", | 258 | "type": "dataset", | ||
233 | "url": "https://github.com/SDM-TIB/VISE", | 259 | "url": "https://github.com/SDM-TIB/VISE", | ||
234 | "version": "", | 260 | "version": "", | ||
235 | "version_note": "" | 261 | "version_note": "" | ||
236 | } | 262 | } |