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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.
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Submitted on : Wednesday, June 21, 2017 - 1:46:27 PM
Last modification on : Friday, January 29, 2021 - 10:26:02 AM
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  • HAL Id : hal-01544123, version 1


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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