Semantic Links Using SKOS Predicates | Zendy

Ricardo Ávila | Zendy; Salomão Santos | Zendy; David Araújo | Zendy; Vânia Maria Ponte Vidal | Zendy; José Antônio Fernandes de Macêdo | Zendy

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Semantic Links Using SKOS Predicates

Author(s) -

Ricardo Ávila,

Salomão Santos,

David Araújo,

Vânia Maria Ponte Vidal,

José Antônio Fernandes de Macêdo

Publication year - 2017

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2017.08.063

Subject(s) - simple knowledge organization system , computer science , vocabulary , predicate (mathematical logic) , information retrieval , field (mathematics) , controlled vocabulary , ontology , natural language processing , semantic web , rdf , programming language , linguistics , sparql , philosophy , mathematics , epistemology , pure mathematics

The semantic relationships between heterogeneous data sources are essential for a better understanding of the definitions in the field of Oil Production and Extraction (E&P). The Simple Knowledge Organization System (SKOS) 1 vocabulary can aid in the identification and generation of semantic links between glossaries of terms. We have developed an algorithm that automatically generates mappings with SKOS predicates. The algorithm has shown satisfactory results, especially for the skos:exactMatch predicate, which suggests that automatic methods can be used to improve the quality of terminological mappings.

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