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  "access_rights": "",
            
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  "accrualPeriodicity": "",
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  "accrualPeriodicity": "",
            
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  "author": "M\u00f3nica Figuera",
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  "author": "M\u00f3nica Figuera",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [],
            
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            
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  "defined_in": "https://doi.org/10.1145/3442381.3449877",
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  "defined_in": "https://doi.org/10.1145/3442381.3449877",
            
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  "doi": "10.25835/0035739",
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  "doi": "10.25835/0035739",
            
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  "doi_date_published": "2021-01-20",
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  "doi_date_published": "2021-01-20",
            
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  "doi_publisher": "LUIS",
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  "doi_publisher": "LUIS",
            
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  "doi_status": "true",
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  "doi_status": "true",
            
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  "domain": "https://data.uni-hannover.de",
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  "domain": "https://data.uni-hannover.de",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": " Philipp D. Rohde",
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      "extra_author": " Philipp D. Rohde",
            
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      "orcid": "0000-0002-9835-4354"
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      "orcid": "0000-0002-9835-4354"
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": " Maria-Esther Vidal",
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      "extra_author": " Maria-Esther Vidal",
            
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      "orcid": "0000-0003-1160-8727"
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      "orcid": "0000-0003-1160-8727"
            
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    }
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  ],
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      "key": "Link to ORKG",
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      "key": "Link to ORKG",
            
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      "value": "https://www.orkg.org/orkg/paper/R576963"
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      "value": "https://www.orkg.org/orkg/paper/R576963"
            
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  "license_id": "",
            
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  "license_title": "",
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  "license_title": "",
            
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  "link_orkg": "https://www.orkg.org/orkg/paper/R576963",
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  "link_orkg": "https://www.orkg.org/orkg/paper/R576963",
            
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  "maintainer": "Philipp D. Rohde",
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  "maintainer": "Philipp D. Rohde",
            
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  "metadata_modified": "2024-07-16T11:25:20.252294",
            
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  "name": 
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  "name": 
            
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"luh-trav-shacl-benchmarks-experimental-settings-and-evaluation",
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"luh-trav-shacl-benchmarks-experimental-settings-and-evaluation",
            
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  "notes": "This collection includes all the data and scripts 
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  "notes": "This collection includes all the data and scripts 
            
53
necessary to reproduce the results from the experimental evaluation of 
53
necessary to reproduce the results from the experimental evaluation of 
            
54
[Trav-SHACL](https://github.com/SDM-TIB/Trav-SHACL) at 
54
[Trav-SHACL](https://github.com/SDM-TIB/Trav-SHACL) at 
            
55
WWW'21.\r\n\r\nThe data is modified data from the [Lehigh University 
55
WWW'21.\r\n\r\nThe data is modified data from the [Lehigh University 
            
56
Benchmark](http://swat.cse.lehigh.edu/projects/lubm/). The collection 
56
Benchmark](http://swat.cse.lehigh.edu/projects/lubm/). The collection 
            
57
comprises nine data sets of three different sizes:\r\n\r\n+ Small 
57
comprises nine data sets of three different sizes:\r\n\r\n+ Small 
            
58
Knowledge Graph (SKG) models eight universities\r\n+ Medium Knowledge 
58
Knowledge Graph (SKG) models eight universities\r\n+ Medium Knowledge 
            
59
Graph (MKG) models 32 universities\r\n+ Large Knowledge Graph (LKG) 
59
Graph (MKG) models 32 universities\r\n+ Large Knowledge Graph (LKG) 
            
60
models 256 universities\r\n\r\nThere are three data sets of each size. 
60
models 256 universities\r\n\r\nThere are three data sets of each size. 
            
61
They differ only in those triples that link an entity to a university, 
61
They differ only in those triples that link an entity to a university, 
            
62
i.e., the university the entity is linked to. This was done in order 
62
i.e., the university the entity is linked to. This was done in order 
            
63
to achieve different percentages of valid universities when evaluating 
63
to achieve different percentages of valid universities when evaluating 
            
64
the SHACL shape schemas for the above-mentioned paper.\r\n\r\nThe data 
64
the SHACL shape schemas for the above-mentioned paper.\r\n\r\nThe data 
            
65
is available for download in Turtle format and preloaded for the use 
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is available for download in Turtle format and preloaded for the use 
            
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with Virtuoso 7.20.3229.\r\n\r\nIn order to reproduce the results 
66
with Virtuoso 7.20.3229.\r\n\r\nIn order to reproduce the results 
            
67
reported, you will only need the archive of the scripts as the shapes 
67
reported, you will only need the archive of the scripts as the shapes 
            
68
are also included in that script and the data will be downloaded 
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are also included in that script and the data will be downloaded 
            
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automatically.",
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automatically.",
            
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    "created": "2017-11-23T17:30:37.757128",
            
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    "description": "The German National Library of Science and 
            
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Technology, abbreviated TIB, is the national library of the Federal 
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Technology, abbreviated TIB, is the national library of the Federal 
            
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Republic of Germany for all fields of engineering, technology, and the 
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Republic of Germany for all fields of engineering, technology, and the 
            
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natural sciences.",
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natural sciences.",
            
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    "image_url": 
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    "image_url": 
            
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      "description": "all necessary scripts to reproduce the reported 
            
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results",
            
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183
      "state": "active",
            
184
      "url": 
184
      "url": 
            
185
d1066748-281b-4b3e-9eb2-f7ba51db054d/download/trav-shacl-www2021.zip",
185
d1066748-281b-4b3e-9eb2-f7ba51db054d/download/trav-shacl-www2021.zip",
            
186
      "url_type": ""
186
      "url_type": ""
            
187
    }
187
    }
            
188
  ],
188
  ],
            
189
  "services_used_list": "",
189
  "services_used_list": "",
            
190
  "source_metadata_created": "2021-01-20T12:43:58.134735",
190
  "source_metadata_created": "2021-01-20T12:43:58.134735",
            
191
  "source_metadata_modified": "2022-01-20T11:00:24.013886",
191
  "source_metadata_modified": "2022-01-20T11:00:24.013886",
            
192
  "spatial": "",
192
  "spatial": "",
            
193
  "spatial_resolution": "",
193
  "spatial_resolution": "",
            
194
  "start_date": "",
194
  "start_date": "",
            
195
  "state": "active",
195
  "state": "active",
            
196
  "tags": [
196
  "tags": [
            
197
    {
197
    {
            
198
      "display_name": "SHACL",
198
      "display_name": "SHACL",
            
199
      "id": "86880957-afcb-4026-96f1-5af0cc899b0a",
199
      "id": "86880957-afcb-4026-96f1-5af0cc899b0a",
            
200
      "name": "SHACL",
200
      "name": "SHACL",
            
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
  "terms_of_usage": "Yes",
206
  "terms_of_usage": "Yes",
            
207
  "title": "Trav-SHACL: Benchmarks, Experimental Settings, and 
207
  "title": "Trav-SHACL: Benchmarks, Experimental Settings, and 
            
208
Evaluation",
208
Evaluation",
            
209
  "type": "vdataset",
209
  "type": "vdataset",
            
210
  "url": 
210
  "url": 
            
211
e/dataset/trav-shacl-benchmarks-experimental-settings-and-evaluation",
211
e/dataset/trav-shacl-benchmarks-experimental-settings-and-evaluation",
            
212
  "version": "1.0",
212
  "version": "1.0",
            
213
  "version_note": ""
213
  "version_note": ""
            
214
}
214
}