@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix ltk: <http://data.loterre.fr/ark:/67375/LTK> .
@prefix inist: <http://www.inist.fr/Ontology#> .
@prefix dc: <http://purl.org/dc/terms/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<http://data.loterre.fr/ark:/67375/8LP> a owl:Ontology, skos:ConceptScheme .
<http://data.loterre.fr/ark:/67375/8LP-N2JGZ580-Z>
  skos:prefLabel "unsupervised learning"@en, "apprentissage non supervisé"@fr ;
  a skos:Concept ;
  skos:narrower <http://data.loterre.fr/ark:/67375/8LP-DK7HGDD5-3> .

<http://data.loterre.fr/ark:/67375/8LP-DK7HGDD5-3>
  skos:inScheme <http://data.loterre.fr/ark:/67375/8LP> ;
  a skos:Concept ;
  skos:altLabel "partitionnement de documents"@fr, "document clustering"@en, "clustering de documents"@fr, "clustering de textes"@fr ;
  skos:example "Text document clustering can greatly simplify browsing large collections of documents by reorganizing them into a smaller number of manageable clusters. (Sedding & Kazakov, 2004)"@en, "They conducted clinical document clustering in 17 different clinical domains and showed that note types in a broad clinical scope form the same cluster but note types in a narrow clinical extent form different clusters. (Sohn, Clark, Halgrim, Murphy, Jonnalagadda, Wagholikar, Wu, Chute & Liu, 2013)"@en, "Toda and Kataoka (2005) use document clustering based on Named Entities to tackle the problem of document retrieval for search results. (Tsekouras, Petasis & Kosmopoulos, 2019)"@en, "Moreover the quality of text clustering is intricately related to user preference which is hard to describe using a textual prompt. (Zhang, Zou, Yi & Aw, 2024)"@en, "Initially document clustering was developed to improve precision and recall of information retrieval systems. (Sedding & Kazakov, 2004)"@en ;
  skos:prefLabel "partitionnement de textes"@fr, "text clustering"@en ;
  skos:definition "A type of unsupervised learning that consists in grouping texts according to their level of similarity. (Loterre)"@en, "Type d'apprentissage non supervisé consistant à regrouper des textes en fonction de leur niveau de similarité. (Loterre)"@fr ;
  skos:exactMatch ltk:-V8QCRR1T-D ;
  inist:definitionalContext "Text document clustering is the grouping of text documents into semantically related groups or as Hayes puts it \"they are grouped because they are likely to be wanted together\" (Hayes 1963). (Sedding & Kazakov, 2004)"@en ;
  dc:modified "2024-05-21T12:36:52"^^xsd:dateTime ;
  skos:hiddenLabel "Text clustering"@en, "Partitionnement de textes"@fr ;
  skos:broader <http://data.loterre.fr/ark:/67375/8LP-N2JGZ580-Z> .