From Meaningful Orderings in the Web of Data to Multi-level Pattern Structures

Quentin Brabant 1 Miguel Couceiro 1 Amedeo Napoli 1 Justine Reynaud 1
1 ORPAILLEUR - Knowledge representation, reasonning
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : We define a pattern structure whose objects are elements of a supporting ontology. In this framework, descriptions constitute trees, made of triples subject-predicate-object, and for which we provide a meaningful similarity operator. The specificity of the descriptions depends on a hy-perparameter corresponding to their depth. This formalism is compatible with ontologies formulated in the language of RDF and RDFS and aims to set up a framework based on pattern structures for knowledge discovery in the web of data.
Keywords : Pattern structures Ontology Knowledge discovery FCA Formal Concept Analysis RDF
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Quentin Brabant, Miguel Couceiro, Amedeo Napoli, Justine Reynaud. From Meaningful Orderings in the Web of Data to Multi-level Pattern Structures. International Symposium on Methodologies for Intelligent Systems, Jun 2017, Warsaw, Poland. pp.622-631. ⟨hal-01544123⟩

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