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index-v16-18-1-lenient-some-repeat10.log
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index-v16-18-1-lenient-some-repeat10.log
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info: Starting app with parameters:
{
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info: Memory usage before handling queries:
rss 64.41 MB
heapTotal 33.34 MB
heapUsed 20.69 MB
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verbose: Query:
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verbose: Context: {
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verbose: Sources: [
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"https://pietercolpaert.be/#me",
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"https://data.knows.idlab.ugent.be/person/sofieverbrugge/#me",
"https://data.knows.idlab.ugent.be/person/office/master-theses.ttl"
]
info: Starting query 6/48, repetition 0/10
info: Ending query 6/48, repetition 0/10 (duration: 4.807776134 s)
verbose: Query 6/48, repetition 0/10 result:
{
"data": [
{
"member": [
{
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"https://data.knows.idlab.ugent.be/master-thesis/2021/belgian-parliamentary-votes-as-a-knowledge-graph"
],
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"keywords": [
"Linked Data",
"Artificial Intelligence",
"AI",
"Data Science",
"Knowledge Graph",
"Semantic Web"
],
"name": "Belgian parliamentary votes as a knowledge graph",
"text": "- Like govtrack.us, but for Belgian “kamer” votes\n - Other related work: https://progressivepunch.org/ , 538\n- Voting records are available on dekamer.be, but in a plaintext format not available for analysis (example)\n- Disclosing this data in a format ready for analysis would be great value, again, see govtrack.us\n\n- What needs to be done?\n - The voting data is structured in the form of CSV files embedded in different HTML pages, \n - There is much room for doing quality checks: did all (and only) 150 volksvertegenwoordigers either vote or abstain?\n - ontology engineering: making a schema for the voting data in RDF\n- Background knowledge\n - RDF and RML or willing to learn supe easy check tutorials at https://rml.io/docs/ \n - Design of data models\n - HTML and JavaScript to create a website\n - Machine learning for data analysis \n - Interest in the Belgian political system! Or the courage to explore it\n\n"
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"mbox": "mailto:[email protected]",
"familyName": "Dimou",
"givenName": "Anastasia"
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{
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"mbox": "mailto:[email protected]",
"familyName": "Dimou",
"givenName": "Αναστασία"
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{
"id": "https://natadimou.com/#me",
"mbox": "mailto:[email protected]",
"familyName": "Δήμου",
"givenName": "Anastasia"
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{
"id": "https://natadimou.com/#me",
"mbox": "mailto:[email protected]",
"familyName": "Δήμου",
"givenName": "Αναστασία"
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info: Memory usage after handling query 6/48, repetition 0/10:
rss 159.43 MB
heapTotal 107.44 MB
heapUsed 83.04 MB
external 1.7 MB
arrayBuffers 0.79 MB
verbose: Query:
{
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year (_: "2021")
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verbose: Context: {
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verbose: Sources: [
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"https://ruben.verborgh.org/profile/#me",
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"https://pietercolpaert.be/#me",
"https://www.rubensworks.net/#me",
"https://ben.de-meester.org/#me",
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"https://data.knows.idlab.ugent.be/person/femkeongenae/#me",
"https://data.knows.idlab.ugent.be/person/sofieverbrugge/#me",
"https://data.knows.idlab.ugent.be/person/office/master-theses.ttl"
]
info: Starting query 6/48, repetition 1/10
info: Ending query 6/48, repetition 1/10 (duration: 2.525975016 s)
verbose: Query 6/48, repetition 1/10 result:
{
"data": [
{
"member": [
{
"id": [
"https://data.knows.idlab.ugent.be/master-thesis/2021/belgian-parliamentary-votes-as-a-knowledge-graph"
],
"subject": {
"keywords": [
"Linked Data",
"Artificial Intelligence",
"AI",
"Data Science",
"Knowledge Graph",
"Semantic Web"
],
"name": "Belgian parliamentary votes as a knowledge graph",
"text": "- Like govtrack.us, but for Belgian “kamer” votes\n - Other related work: https://progressivepunch.org/ , 538\n- Voting records are available on dekamer.be, but in a plaintext format not available for analysis (example)\n- Disclosing this data in a format ready for analysis would be great value, again, see govtrack.us\n\n- What needs to be done?\n - The voting data is structured in the form of CSV files embedded in different HTML pages, \n - There is much room for doing quality checks: did all (and only) 150 volksvertegenwoordigers either vote or abstain?\n - ontology engineering: making a schema for the voting data in RDF\n- Background knowledge\n - RDF and RML or willing to learn supe easy check tutorials at https://rml.io/docs/ \n - Design of data models\n - HTML and JavaScript to create a website\n - Machine learning for data analysis \n - Interest in the Belgian political system! Or the courage to explore it\n\n"
},
"contactPoint": [
{
"id": "https://ben.de-meester.org/#me",
"mbox": "mailto:[email protected]",
"familyName": "De Meester",
"givenName": "Ben"
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{
"id": "https://natadimou.com/#me",
"mbox": "mailto:[email protected]",
"familyName": "Dimou",
"givenName": "Anastasia"
},
{
"id": "https://natadimou.com/#me",
"mbox": "mailto:[email protected]",
"familyName": "Dimou",
"givenName": "Αναστασία"
},
{
"id": "https://natadimou.com/#me",
"mbox": "mailto:[email protected]",
"familyName": "Δήμου",
"givenName": "Anastasia"
},
{
"id": "https://natadimou.com/#me",
"mbox": "mailto:[email protected]",
"familyName": "Δήμου",
"givenName": "Αναστασία"
}
],
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]
}
]
}
info: Memory usage after handling query 6/48, repetition 1/10:
rss 216.88 MB
heapTotal 163.4 MB
heapUsed 136.15 MB
external 2.23 MB
arrayBuffers 1.32 MB
verbose: Query:
{
id(_:KNOWS)
member {
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year (_: "2021")
id
subject @single {
keywords
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text @single
}
contactPoint {
id @single
givenName @single
familyName @single
mbox @single
}
numberOfEmployees @single {
maxValue @single
}
}
}
verbose: Context: {
"@context": {
"KNOWS": "https://data.knows.idlab.ugent.be/person/office/#",
"foaf": "http://xmlns.com/foaf/0.1/",
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"bbc": "http://www.bbc.co.uk/ontologies/coreconcepts/",
"dp": "http://dbpedia.org/ontology/",
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verbose: Sources: [
"https://data.knows.idlab.ugent.be/person/office/#]",
"https://ruben.verborgh.org/profile/#me",
"https://pieterheyvaert.com/#me",
"https://pietercolpaert.be/#me",
"https://www.rubensworks.net/#me",
"https://ben.de-meester.org/#me",
"https://natadimou.com/#me",
"https://data.knows.idlab.ugent.be/person/femkeongenae/#me",
"https://data.knows.idlab.ugent.be/person/sofieverbrugge/#me",
"https://data.knows.idlab.ugent.be/person/office/master-theses.ttl"
]
info: Starting query 6/48, repetition 2/10
info: Ending query 6/48, repetition 2/10 (duration: 2.7366573 s)
verbose: Query 6/48, repetition 2/10 result:
{
"data": [
{
"member": [
{
"id": [
"https://data.knows.idlab.ugent.be/master-thesis/2021/belgian-parliamentary-votes-as-a-knowledge-graph"
],
"subject": {
"keywords": [
"Linked Data",
"Artificial Intelligence",
"AI",
"Data Science",
"Knowledge Graph",
"Semantic Web"
],
"name": "Belgian parliamentary votes as a knowledge graph",
"text": "- Like govtrack.us, but for Belgian “kamer” votes\n - Other related work: https://progressivepunch.org/ , 538\n- Voting records are available on dekamer.be, but in a plaintext format not available for analysis (example)\n- Disclosing this data in a format ready for analysis would be great value, again, see govtrack.us\n\n- What needs to be done?\n - The voting data is structured in the form of CSV files embedded in different HTML pages, \n - There is much room for doing quality checks: did all (and only) 150 volksvertegenwoordigers either vote or abstain?\n - ontology engineering: making a schema for the voting data in RDF\n- Background knowledge\n - RDF and RML or willing to learn supe easy check tutorials at https://rml.io/docs/ \n - Design of data models\n - HTML and JavaScript to create a website\n - Machine learning for data analysis \n - Interest in the Belgian political system! Or the courage to explore it\n\n"
},
"contactPoint": [
{
"id": "https://ben.de-meester.org/#me",
"mbox": "mailto:[email protected]",
"familyName": "De Meester",
"givenName": "Ben"
},
{
"id": "https://natadimou.com/#me",
"mbox": "mailto:[email protected]",
"familyName": "Dimou",
"givenName": "Anastasia"
},
{
"id": "https://natadimou.com/#me",
"mbox": "mailto:[email protected]",
"familyName": "Dimou",
"givenName": "Αναστασία"
},
{
"id": "https://natadimou.com/#me",
"mbox": "mailto:[email protected]",
"familyName": "Δήμου",
"givenName": "Anastasia"
},
{
"id": "https://natadimou.com/#me",
"mbox": "mailto:[email protected]",
"familyName": "Δήμου",
"givenName": "Αναστασία"
}
],
"numberOfEmployees": {
"maxValue": "1"
}
}
]
}
]
}
info: Memory usage after handling query 6/48, repetition 2/10:
rss 270.27 MB
heapTotal 215.86 MB
heapUsed 184.07 MB
external 2.77 MB
arrayBuffers 1.83 MB
verbose: Query:
{
id(_:KNOWS)
member {
slug (_: "belgian-parliamentary-votes-as-a-knowledge-graph")
year (_: "2021")
id
subject @single {
keywords
name @single
text @single
}
contactPoint {
id @single
givenName @single
familyName @single
mbox @single
}
numberOfEmployees @single {
maxValue @single
}
}
}
verbose: Context: {
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"KNOWS": "https://data.knows.idlab.ugent.be/person/office/#",
"foaf": "http://xmlns.com/foaf/0.1/",
"schema": "http://schema.org/",
"bbc": "http://www.bbc.co.uk/ontologies/coreconcepts/",
"dp": "http://dbpedia.org/ontology/",
"member": {
"@reverse": "schema:memberOf"
},
"subject": "schema:subject",
"keywords": "schema:keywords",
"hasPart": "schema:hasPart",
"text": "schema:text",
"contactPoint": "schema:contactPoint",
"mbox": "foaf:mbox",
"givenName": {
"@id": "foaf:givenName",
"@language": "en"
},
"familyName": {
"@id": "foaf:familyName",
"@language": "en"
},
"numberOfEmployees": "schema:numberOfEmployees",
"maxValue": "schema:maxValue",
"additionalType": "schema:additionalType",
"name": "schema:name",
"year": "dp:year",
"slug": "bbc:slug"
}
}
verbose: Sources: [
"https://data.knows.idlab.ugent.be/person/office/#]",
"https://ruben.verborgh.org/profile/#me",
"https://pieterheyvaert.com/#me",
"https://pietercolpaert.be/#me",
"https://www.rubensworks.net/#me",
"https://ben.de-meester.org/#me",
"https://natadimou.com/#me",
"https://data.knows.idlab.ugent.be/person/femkeongenae/#me",
"https://data.knows.idlab.ugent.be/person/sofieverbrugge/#me",
"https://data.knows.idlab.ugent.be/person/office/master-theses.ttl"
]
info: Starting query 6/48, repetition 3/10
info: Ending query 6/48, repetition 3/10 (duration: 2.230316585 s)
verbose: Query 6/48, repetition 3/10 result:
{
"data": [
{
"member": [
{
"id": [
"https://data.knows.idlab.ugent.be/master-thesis/2021/belgian-parliamentary-votes-as-a-knowledge-graph"
],
"subject": {
"keywords": [
"Linked Data",
"Artificial Intelligence",
"AI",
"Data Science",
"Knowledge Graph",
"Semantic Web"
],
"name": "Belgian parliamentary votes as a knowledge graph",
"text": "- Like govtrack.us, but for Belgian “kamer” votes\n - Other related work: https://progressivepunch.org/ , 538\n- Voting records are available on dekamer.be, but in a plaintext format not available for analysis (example)\n- Disclosing this data in a format ready for analysis would be great value, again, see govtrack.us\n\n- What needs to be done?\n - The voting data is structured in the form of CSV files embedded in different HTML pages, \n - There is much room for doing quality checks: did all (and only) 150 volksvertegenwoordigers either vote or abstain?\n - ontology engineering: making a schema for the voting data in RDF\n- Background knowledge\n - RDF and RML or willing to learn supe easy check tutorials at https://rml.io/docs/ \n - Design of data models\n - HTML and JavaScript to create a website\n - Machine learning for data analysis \n - Interest in the Belgian political system! Or the courage to explore it\n\n"
},
"contactPoint": [
{
"id": "https://ben.de-meester.org/#me",
"mbox": "mailto:[email protected]",
"familyName": "De Meester",
"givenName": "Ben"
},
{
"id": "https://natadimou.com/#me",
"mbox": "mailto:[email protected]",
"familyName": "Dimou",
"givenName": "Anastasia"
},
{
"id": "https://natadimou.com/#me",
"mbox": "mailto:[email protected]",
"familyName": "Dimou",
"givenName": "Αναστασία"
},
{
"id": "https://natadimou.com/#me",
"mbox": "mailto:[email protected]",
"familyName": "Δήμου",
"givenName": "Anastasia"
},
{
"id": "https://natadimou.com/#me",
"mbox": "mailto:[email protected]",
"familyName": "Δήμου",
"givenName": "Αναστασία"
}
],
"numberOfEmployees": {
"maxValue": "1"
}
}
]
}
]
}
info: Memory usage after handling query 6/48, repetition 3/10:
rss 203.07 MB
heapTotal 147.38 MB
heapUsed 72.96 MB
external 1.12 MB
arrayBuffers 0.15 MB
verbose: Query:
{
id(_:KNOWS)
member {
slug (_: "belgian-parliamentary-votes-as-a-knowledge-graph")
year (_: "2021")
id
subject @single {
keywords
name @single
text @single
}
contactPoint {
id @single
givenName @single
familyName @single
mbox @single
}
numberOfEmployees @single {
maxValue @single
}
}
}
verbose: Context: {
"@context": {
"KNOWS": "https://data.knows.idlab.ugent.be/person/office/#",
"foaf": "http://xmlns.com/foaf/0.1/",
"schema": "http://schema.org/",
"bbc": "http://www.bbc.co.uk/ontologies/coreconcepts/",
"dp": "http://dbpedia.org/ontology/",
"member": {
"@reverse": "schema:memberOf"
},
"subject": "schema:subject",
"keywords": "schema:keywords",
"hasPart": "schema:hasPart",
"text": "schema:text",
"contactPoint": "schema:contactPoint",
"mbox": "foaf:mbox",
"givenName": {
"@id": "foaf:givenName",
"@language": "en"
},
"familyName": {
"@id": "foaf:familyName",
"@language": "en"
},
"numberOfEmployees": "schema:numberOfEmployees",
"maxValue": "schema:maxValue",
"additionalType": "schema:additionalType",
"name": "schema:name",
"year": "dp:year",
"slug": "bbc:slug"
}
}
verbose: Sources: [
"https://data.knows.idlab.ugent.be/person/office/#]",
"https://ruben.verborgh.org/profile/#me",
"https://pieterheyvaert.com/#me",
"https://pietercolpaert.be/#me",
"https://www.rubensworks.net/#me",
"https://ben.de-meester.org/#me",
"https://natadimou.com/#me",
"https://data.knows.idlab.ugent.be/person/femkeongenae/#me",
"https://data.knows.idlab.ugent.be/person/sofieverbrugge/#me",
"https://data.knows.idlab.ugent.be/person/office/master-theses.ttl"
]
info: Starting query 6/48, repetition 4/10
info: Ending query 6/48, repetition 4/10 (duration: 1.854302279 s)
verbose: Query 6/48, repetition 4/10 result:
{
"data": [
{
"member": [
{
"id": [
"https://data.knows.idlab.ugent.be/master-thesis/2021/belgian-parliamentary-votes-as-a-knowledge-graph"
],
"subject": {
"keywords": [
"Linked Data",
"Artificial Intelligence",
"AI",
"Data Science",
"Knowledge Graph",
"Semantic Web"
],
"name": "Belgian parliamentary votes as a knowledge graph",
"text": "- Like govtrack.us, but for Belgian “kamer” votes\n - Other related work: https://progressivepunch.org/ , 538\n- Voting records are available on dekamer.be, but in a plaintext format not available for analysis (example)\n- Disclosing this data in a format ready for analysis would be great value, again, see govtrack.us\n\n- What needs to be done?\n - The voting data is structured in the form of CSV files embedded in different HTML pages, \n - There is much room for doing quality checks: did all (and only) 150 volksvertegenwoordigers either vote or abstain?\n - ontology engineering: making a schema for the voting data in RDF\n- Background knowledge\n - RDF and RML or willing to learn supe easy check tutorials at https://rml.io/docs/ \n - Design of data models\n - HTML and JavaScript to create a website\n - Machine learning for data analysis \n - Interest in the Belgian political system! Or the courage to explore it\n\n"
},
"contactPoint": [
{
"id": "https://ben.de-meester.org/#me",
"mbox": "mailto:[email protected]",
"familyName": "De Meester",
"givenName": "Ben"
},
{
"id": "https://natadimou.com/#me",
"mbox": "mailto:[email protected]",
"familyName": "Dimou",
"givenName": "Anastasia"
},
{
"id": "https://natadimou.com/#me",
"mbox": "mailto:[email protected]",
"familyName": "Dimou",
"givenName": "Αναστασία"
},
{
"id": "https://natadimou.com/#me",
"mbox": "mailto:[email protected]",
"familyName": "Δήμου",
"givenName": "Anastasia"
},
{
"id": "https://natadimou.com/#me",
"mbox": "mailto:[email protected]",
"familyName": "Δήμου",
"givenName": "Αναστασία"
}
],
"numberOfEmployees": {
"maxValue": "1"
}
}
]
}
]
}
info: Memory usage after handling query 6/48, repetition 4/10:
rss 210.56 MB
heapTotal 155.09 MB
heapUsed 126.81 MB
external 1.65 MB
arrayBuffers 0.72 MB
verbose: Query:
{
id(_:KNOWS)
member {
slug (_: "belgian-parliamentary-votes-as-a-knowledge-graph")
year (_: "2021")
id
subject @single {
keywords
name @single
text @single
}
contactPoint {
id @single
givenName @single
familyName @single
mbox @single
}
numberOfEmployees @single {
maxValue @single
}
}
}
verbose: Context: {
"@context": {
"KNOWS": "https://data.knows.idlab.ugent.be/person/office/#",
"foaf": "http://xmlns.com/foaf/0.1/",
"schema": "http://schema.org/",
"bbc": "http://www.bbc.co.uk/ontologies/coreconcepts/",
"dp": "http://dbpedia.org/ontology/",
"member": {
"@reverse": "schema:memberOf"
},
"subject": "schema:subject",
"keywords": "schema:keywords",
"hasPart": "schema:hasPart",
"text": "schema:text",
"contactPoint": "schema:contactPoint",
"mbox": "foaf:mbox",
"givenName": {
"@id": "foaf:givenName",
"@language": "en"
},
"familyName": {
"@id": "foaf:familyName",
"@language": "en"
},
"numberOfEmployees": "schema:numberOfEmployees",
"maxValue": "schema:maxValue",
"additionalType": "schema:additionalType",
"name": "schema:name",
"year": "dp:year",
"slug": "bbc:slug"
}
}
verbose: Sources: [
"https://data.knows.idlab.ugent.be/person/office/#]",
"https://ruben.verborgh.org/profile/#me",
"https://pieterheyvaert.com/#me",
"https://pietercolpaert.be/#me",
"https://www.rubensworks.net/#me",
"https://ben.de-meester.org/#me",
"https://natadimou.com/#me",
"https://data.knows.idlab.ugent.be/person/femkeongenae/#me",
"https://data.knows.idlab.ugent.be/person/sofieverbrugge/#me",
"https://data.knows.idlab.ugent.be/person/office/master-theses.ttl"
]
info: Starting query 6/48, repetition 5/10
info: Ending query 6/48, repetition 5/10 (duration: 2.795 s)
verbose: Query 6/48, repetition 5/10 result:
{
"data": [
{
"member": [
{
"id": [
"https://data.knows.idlab.ugent.be/master-thesis/2021/belgian-parliamentary-votes-as-a-knowledge-graph"
],
"subject": {
"keywords": [
"Linked Data",
"Artificial Intelligence",
"AI",
"Data Science",
"Knowledge Graph",
"Semantic Web"
],
"name": "Belgian parliamentary votes as a knowledge graph",
"text": "- Like govtrack.us, but for Belgian “kamer” votes\n - Other related work: https://progressivepunch.org/ , 538\n- Voting records are available on dekamer.be, but in a plaintext format not available for analysis (example)\n- Disclosing this data in a format ready for analysis would be great value, again, see govtrack.us\n\n- What needs to be done?\n - The voting data is structured in the form of CSV files embedded in different HTML pages, \n - There is much room for doing quality checks: did all (and only) 150 volksvertegenwoordigers either vote or abstain?\n - ontology engineering: making a schema for the voting data in RDF\n- Background knowledge\n - RDF and RML or willing to learn supe easy check tutorials at https://rml.io/docs/ \n - Design of data models\n - HTML and JavaScript to create a website\n - Machine learning for data analysis \n - Interest in the Belgian political system! Or the courage to explore it\n\n"
},
"contactPoint": [
{
"id": "https://ben.de-meester.org/#me",
"mbox": "mailto:[email protected]",
"familyName": "De Meester",
"givenName": "Ben"
},
{
"id": "https://natadimou.com/#me",
"mbox": "mailto:[email protected]",
"familyName": "Dimou",
"givenName": "Anastasia"
},
{
"id": "https://natadimou.com/#me",
"mbox": "mailto:[email protected]",
"familyName": "Dimou",
"givenName": "Αναστασία"
},
{
"id": "https://natadimou.com/#me",
"mbox": "mailto:[email protected]",
"familyName": "Δήμου",
"givenName": "Anastasia"
},
{
"id": "https://natadimou.com/#me",
"mbox": "mailto:[email protected]",
"familyName": "Δήμου",
"givenName": "Αναστασία"
}
],
"numberOfEmployees": {
"maxValue": "1"
}
}
]
}
]
}
info: Memory usage after handling query 6/48, repetition 5/10:
rss 261.06 MB
heapTotal 206.25 MB
heapUsed 171.52 MB
external 2.16 MB
arrayBuffers 1.17 MB
verbose: Query:
{
id(_:KNOWS)
member {
slug (_: "belgian-parliamentary-votes-as-a-knowledge-graph")
year (_: "2021")
id
subject @single {
keywords
name @single
text @single
}
contactPoint {
id @single
givenName @single
familyName @single
mbox @single
}
numberOfEmployees @single {
maxValue @single
}
}
}
verbose: Context: {
"@context": {
"KNOWS": "https://data.knows.idlab.ugent.be/person/office/#",
"foaf": "http://xmlns.com/foaf/0.1/",
"schema": "http://schema.org/",
"bbc": "http://www.bbc.co.uk/ontologies/coreconcepts/",
"dp": "http://dbpedia.org/ontology/",
"member": {
"@reverse": "schema:memberOf"
},
"subject": "schema:subject",
"keywords": "schema:keywords",
"hasPart": "schema:hasPart",
"text": "schema:text",
"contactPoint": "schema:contactPoint",
"mbox": "foaf:mbox",
"givenName": {
"@id": "foaf:givenName",
"@language": "en"
},
"familyName": {
"@id": "foaf:familyName",
"@language": "en"
},
"numberOfEmployees": "schema:numberOfEmployees",
"maxValue": "schema:maxValue",
"additionalType": "schema:additionalType",
"name": "schema:name",
"year": "dp:year",
"slug": "bbc:slug"
}
}
verbose: Sources: [
"https://data.knows.idlab.ugent.be/person/office/#]",
"https://ruben.verborgh.org/profile/#me",
"https://pieterheyvaert.com/#me",
"https://pietercolpaert.be/#me",
"https://www.rubensworks.net/#me",
"https://ben.de-meester.org/#me",
"https://natadimou.com/#me",
"https://data.knows.idlab.ugent.be/person/femkeongenae/#me",
"https://data.knows.idlab.ugent.be/person/sofieverbrugge/#me",
"https://data.knows.idlab.ugent.be/person/office/master-theses.ttl"
]
info: Starting query 6/48, repetition 6/10
info: Ending query 6/48, repetition 6/10 (duration: 1.831467014 s)
verbose: Query 6/48, repetition 6/10 result:
{
"data": [
{
"member": [
{
"id": [
"https://data.knows.idlab.ugent.be/master-thesis/2021/belgian-parliamentary-votes-as-a-knowledge-graph"
],
"subject": {
"keywords": [
"Linked Data",
"Artificial Intelligence",
"AI",
"Data Science",
"Knowledge Graph",
"Semantic Web"
],
"name": "Belgian parliamentary votes as a knowledge graph",
"text": "- Like govtrack.us, but for Belgian “kamer” votes\n - Other related work: https://progressivepunch.org/ , 538\n- Voting records are available on dekamer.be, but in a plaintext format not available for analysis (example)\n- Disclosing this data in a format ready for analysis would be great value, again, see govtrack.us\n\n- What needs to be done?\n - The voting data is structured in the form of CSV files embedded in different HTML pages, \n - There is much room for doing quality checks: did all (and only) 150 volksvertegenwoordigers either vote or abstain?\n - ontology engineering: making a schema for the voting data in RDF\n- Background knowledge\n - RDF and RML or willing to learn supe easy check tutorials at https://rml.io/docs/ \n - Design of data models\n - HTML and JavaScript to create a website\n - Machine learning for data analysis \n - Interest in the Belgian political system! Or the courage to explore it\n\n"
},
"contactPoint": [
{
"id": "https://ben.de-meester.org/#me",
"mbox": "mailto:[email protected]",
"familyName": "De Meester",
"givenName": "Ben"
},
{
"id": "https://natadimou.com/#me",
"mbox": "mailto:[email protected]",
"familyName": "Dimou",
"givenName": "Anastasia"
},
{
"id": "https://natadimou.com/#me",
"mbox": "mailto:[email protected]",
"familyName": "Dimou",
"givenName": "Αναστασία"
},
{
"id": "https://natadimou.com/#me",
"mbox": "mailto:[email protected]",
"familyName": "Δήμου",
"givenName": "Anastasia"
},
{
"id": "https://natadimou.com/#me",
"mbox": "mailto:[email protected]",
"familyName": "Δήμου",
"givenName": "Αναστασία"
}
],
"numberOfEmployees": {
"maxValue": "1"
}
}
]
}
]
}
info: Memory usage after handling query 6/48, repetition 6/10:
rss 311.87 MB
heapTotal 255.71 MB
heapUsed 224.27 MB
external 2.66 MB
arrayBuffers 1.73 MB
verbose: Query:
{
id(_:KNOWS)
member {
slug (_: "belgian-parliamentary-votes-as-a-knowledge-graph")
year (_: "2021")
id
subject @single {
keywords
name @single
text @single
}
contactPoint {
id @single
givenName @single
familyName @single
mbox @single
}
numberOfEmployees @single {
maxValue @single
}
}
}
verbose: Context: {
"@context": {
"KNOWS": "https://data.knows.idlab.ugent.be/person/office/#",
"foaf": "http://xmlns.com/foaf/0.1/",
"schema": "http://schema.org/",
"bbc": "http://www.bbc.co.uk/ontologies/coreconcepts/",