}. B. Prefix, CONSTRUCT { ?x a ?c} WHERE{ ?x huto:number ?m ; rdf:type huto:Month . ?c huto:number ?m . ?c rdfs:subClassOf huto

P. F. Diallo, C. O. Mirbel, I. Lo, M. Ndiaye, and S. , Ontologies-Based Platform for Sociocultural Knowledge Management, Jounal on Data Semantics (65). Spring DOI : 10.1007, pp.13740-13756, 2016.
DOI : 10.1007/978-3-642-24794-1_2
URL : https://hal.archives-ouvertes.fr/hal-01342912

A. Appendix, Annexe : HuTO Figure A

P. Huto, CONSTRUCT{ ?s huto:after ?o } WHERE{ [a huto:TemporalAnnotation ; (huto:uri|huto:triple|huto:graph) ?p1 ; huto:hasTemporalExp ?s] huto:after [a huto:TemporalAnnotation ; (huto:uri|huto:triple|huto:graph) ?p2

P. Huto, CONSTRUCT{ ?s huto:after ?o } WHERE{ ?s huto:hasTemporalExp/huto:hasDate ?t1 . ?o huto:hasTemporalExp/huto:hasDate ?t2 . ?t1 huto:hasYear/huto:value ?y1 . ?t2 huto:hasYear/huto:value ?y2 . FILTER(?y1 > ?y2 || (?y1 = ?y2 || EXISTS{ ?t1 huto:hasMonth/huto:number ?m1 . ?t2 huto:hasMonth/huto:number ?m2 . FILTER(?m1 > ?m2 || (?m1 = ?m2 || EXISTS{ ?t1 huto:hasDay/huto:value ?d1, t2 huto:hasDay/huto:value ?d2 . FILTER(?d1 > ?d2) }))

P. Huto, CONSTRUCT{ ?e huto:value ?d } WHERE{ ?x huto:hasMonth ?e ?e rdf:type ?o ; huto:numberOfDay ?n . ?o rdfs:subClassOf+ huto

. Dans-notre-approche-de-modélisation, nous considérons toute entité comme un intervalle. Ainsi, la règle précédente normalise à la fois les intervalles exprimés avec la propriété huto:hasBegin et la propriété huto:hasEnd. Normalisation des intervalles exprimés par la relation huto:hasDuration

P. Huto, PREFIX data: <http://example.org/data/> DESCRIBE ?x where { {# Ponctual resources expressed ?x huto:hasTemporalExp/huto:hasDate [ huto:hasYear/huto:value ?year ; huto:hasMonth/huto:number ?month; huto:hasDay/huto:value ?day

}. Union, FILTER((?monthBeg < ?month && ?month < ?monthEnd) || (?monthBeg = ?month && ?day <= ?dayEnd) || (?monthBeg = ?month && ?monthBeg = ?monthEnd && ?dayBeg <= ?day && ?day <= ?dayEnd) || (?monthEnd = ?month && ?day <= ?dayEnd)) } UNION {# Yearly resources expressed with hasBegin and hasEnd properties ?x huto:hasTemporalExp/rdf:type huto:Cycle ; huto:hasTemporalExp/huto:every/rdf:type huto:Year; huto:hasTemporalExp/huto:exp/huto:hasBegin/huto:hasMonth/huto:number ?m1; huto:hasTemporalExp/huto:exp/huto:hasBegin/huto:hasDay/huto:value ?d1

P. Huto, TEMPLATE {st:apply-templates-with(st:turtle, ?x)} where { {# Ponctual resources ?x huto:hasTemporalExp/huto:hasDate [ huto:hasYear/huto:value ?year ; huto:hasMonth/huto:number ?month ; huto:hasDay/huto:value ?day] . FILTER(?day <=?maxDay) } UNION {# Ponctual resources expressed with hasBegin and hasEnd properties ?x huto

A. A. Appendix, P. Huto, and . Huto, PREFIX data: <http://example.org/data/> DESCRIBE ?x WHERE { {# Ponctual resources ?x huto:hasTemporalExp/huto:hasDate [ huto:hasYear/huto:value ?year ; huto:hasMonth/huto:number ?month ; huto:hasDay/huto:value ?day] } UNION {# Ponctual resources expressed with hasBegin and hasEnd properties ?x huto:hasTemporalExp/huto:hasBegin [ huto:hasYear/huto:value ?y1 ; huto:hasMonth/huto:number ?m1

}. Union and . Weekly, type huto:Cycle ; huto:hasTemporalExp/huto:every/rdf:type huto:Week ; huto:hasTemporalExp/huto:exp/huto:hasDate/huto:hasDay/rdf:type ?weekday . ?weekday rdfs:label ?dayOfWeek . } UNION {# Weekly resources expressed with hasBegin and hasEnd properties ?x huto:hasTemporalExp/rdf:type huto:Cycle ; huto:hasTemporalExp/huto:every/rdf:type huto:Week

B. Appendix, Annexe : Installation des Outils Semantic Forms 3

. La-version-3, 5 de Semantic form a été installée Après installation 5 , il sut seulement d'ajouter la ligne suivante en bas du chier localSettings.php téléchargé lors de l'installation de MW : include_once

. La-version-2, 16 de l'extension ImageMap a été installée Après installation 8 , il sut seulement d'ajouter la ligne suivante en bas du chier localSettings.php téléchargé lors de l'installation de MW : wfLoadExtension

L. Ainsi and . Première-ligne-ci, La deuxième ligne indique le nom du triple store utilisé. La troisième ligne, spécie l'URL pour les requêtes de lecture sur le triple store. La quatrième ligne, spécie l'URL pour les requêtes d'écriture sur le triple store. La cinquième ligne, spécie l'URL pour les données pour des services HTTP de SPARQL qu'il n'est pas obligatoire de spécier. Enn la sixième ligne, spécie l'URL du graphe utilisé dans la base de connaissances pour sauvegarder les données provenant de SMW. En eet, dans notre architecture (gure 7.1) la base de connaissances a été scindée en trois entrepôts (graphes) : 1) un pour sauvegarder les données annotées de SMW, SMW d'utiliser un triple store pour sauvegarder les données sémantiquessn/) et 3) un pour sauvegarder l'ontologie HuTO

G. Execute, O. Db, . Dba, . Sparql_insert_dict_content, . Grant et al., Pour cela, il faut se connecter en tant qu'administrateur et exécuter les requêtes ISQL suivantes :RDF_QUAD to SPARQL_UPDATE, Après installation de Virtuoso

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