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{
            
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  "author": "Philipp D. Rohde",
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  "author": "Philipp D. Rohde",
            
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  "author_email": "philipp.rohde@tib.eu",
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  "author_email": "philipp.rohde@tib.eu",
            
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  "creator_user_id": "de54a873-8acf-4fa5-bb95-5342cf7fd041",
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  "creator_user_id": "de54a873-8acf-4fa5-bb95-5342cf7fd041",
            
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  "doi": "10.57702/kf5tc88r",
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  "doi": "10.57702/kf5tc88r",
            
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  "doi_date_published": "2023-11-15",
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  "doi_date_published": "2023-11-15",
            
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  "doi_publisher": "TIB",
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  "doi_publisher": "TIB",
            
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  "doi_status": true,
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  "doi_status": true,
            
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  "domain": "https://service.tib.eu/ldmservice",
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  "domain": "https://service.tib.eu/ldmservice",
            
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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": "Antonio Jesus Diaz-Honrubia",
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      "extra_author": "Antonio Jesus Diaz-Honrubia",
            
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      "orcid": "0000-0001-5464-0714"
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      "orcid": "0000-0001-5464-0714"
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Emetis Niazmand",
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      "extra_author": "Emetis Niazmand",
            
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      "orcid": "0000-0001-8194-8079"
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      "orcid": "0000-0001-8194-8079"
            
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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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  ],
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  "id": "4e81c650-6b82-4a0a-bf3c-ab81394cf8df",
            
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  "isopen": true,
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  "isopen": true,
            
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  "license_id": "cc-by-sa",
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  "license_id": "cc-by-sa",
            
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  "license_title": "Creative Commons Attribution Share-Alike",
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  "license_title": "Creative Commons Attribution Share-Alike",
            
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  "license_url": "http://www.opendefinition.org/licenses/cc-by-sa",
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  "license_url": "http://www.opendefinition.org/licenses/cc-by-sa",
            
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  "maintainer": "",
            
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  "metadata_created": "2023-11-10T15:17:42.752028",
            
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  "metadata_modified": "2024-04-11T07:21:09.211249",
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  "metadata_modified": "2024-04-11T07:22:59.344222",
            
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  "name": "paladin-benchmarks-experimental-settings-and-evaluation",
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  "name": "paladin-benchmarks-experimental-settings-and-evaluation",
            
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  "notes": "This collection includes all the data and scripts 
46
  "notes": "This collection includes all the data and scripts 
            
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necessary to reproduce the results from the experimental study of 
47
necessary to reproduce the results from the experimental study of 
            
48
LADIN](https://github.com/SDM-TIB/PALADIN).\r\n\r\n__Data__\r\n\r\nThe 
48
LADIN](https://github.com/SDM-TIB/PALADIN).\r\n\r\n__Data__\r\n\r\nThe 
            
49
data is generated using the [Synthetic Data 
49
data is generated using the [Synthetic Data 
            
50
Generator](https://github.com/SDM-TIB/Synthetic-Data-Generator) which 
50
Generator](https://github.com/SDM-TIB/Synthetic-Data-Generator) which 
            
51
generates process-based breast cancer treatment data following the 
51
generates process-based breast cancer treatment data following the 
            
52
distribution in a real population of breast cancer patients. The 
52
distribution in a real population of breast cancer patients. The 
            
53
collection comprises a total of 18 data sets, nine for relational 
53
collection comprises a total of 18 data sets, nine for relational 
            
54
databases and nine for RDF-based knowledge graphs. For each data 
54
databases and nine for RDF-based knowledge graphs. For each data 
            
55
format, there are three different sizes of data sets:\r\n\r\n+ _Small_ 
55
format, there are three different sizes of data sets:\r\n\r\n+ _Small_ 
            
56
models 1,000 patients\r\n+ _Medium-sized_ models 10,000 patients\r\n+ 
56
models 1,000 patients\r\n+ _Medium-sized_ models 10,000 patients\r\n+ 
            
57
_Large_ models 100,000 patients\r\n\r\nThere are three data sets of 
57
_Large_ models 100,000 patients\r\n\r\nThere are three data sets of 
            
58
each size. They differ in the parameter used for the mutation 
58
each size. They differ in the parameter used for the mutation 
            
59
probability of the data generator. The lower this value is, the closer 
59
probability of the data generator. The lower this value is, the closer 
            
60
the data is to following the treatment guideline for breast cancer 
60
the data is to following the treatment guideline for breast cancer 
            
61
patients with an amplified HER2 gene.\r\n\r\nThe data is available for 
61
patients with an amplified HER2 gene.\r\n\r\nThe data is available for 
            
62
download in\r\n\r\n* Turtle format: `synth_data_ttl.zip`\r\n* 
62
download in\r\n\r\n* Turtle format: `synth_data_ttl.zip`\r\n* 
            
63
Preloaded for the use with Virtuoso 7.20.3237: 
63
Preloaded for the use with Virtuoso 7.20.3237: 
            
64
`synth_data_virtuoso.zip`\r\n* MySQL 8.1 dump: 
64
`synth_data_virtuoso.zip`\r\n* MySQL 8.1 dump: 
            
65
`synth_data_sql.zip`\r\n\r\n__PALADIN Schemas__\r\n\r\nThe file 
65
`synth_data_sql.zip`\r\n\r\n__PALADIN Schemas__\r\n\r\nThe file 
            
66
`paladin_schemas.zip` contains the different PALADIN schemas used in 
66
`paladin_schemas.zip` contains the different PALADIN schemas used in 
            
n
67
the experimental study. There are mainly four different schemas. One 
n
67
the experimental study. There are mainly seven different schemas. One 
            
68
of them represents the treatment guideline for breast cancer patients 
68
of them represents the treatment guideline for breast cancer patients 
            
t
69
with an amplified HER2 gene. The remaining three shemas are used in 
t
69
with an amplified HER2 gene. The remaining six shemas are used in the 
            
70
the study of the scalability. They divide the patients based on the 
70
study of the scalability. They divide the patients based on the ranges 
            
71
ranges over their IDs. They comprise of 64, 256, and 1024 nodes, 
71
over their IDs. They comprise of 16, 32, 64, 128, 256, 512, and 1024 
            
72
respectively.\r\n\r\n__Experimental Environment__\r\n\r\nIn order to 
72
nodes, respectively.\r\n\r\n__Experimental Environment__\r\n\r\nIn 
            
73
reproduce the results, download the file `experiments.zip`. Once 
73
order to reproduce the results, download the file `experiments.zip`. 
            
74
unzipped, execute the file `run_experiments.sh`. Note that you need to 
74
Once unzipped, execute the file `run_experiments.sh`. Note that you 
            
75
have Docker installed. The script `run_experiments.sh` should be 
75
need to have Docker installed. The script `run_experiments.sh` should 
            
76
executed with sudo permissions in order to let the script 
76
be executed with sudo permissions in order to let the script 
            
77
automatically transfer the ownership of the files created with Docker 
77
automatically transfer the ownership of the files created with Docker 
            
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to your user. ",
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to your user. ",
            
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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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