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Procedia Computer Science
Article . 2017 . Peer-reviewed
License: CC BY NC ND
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Procedia Computer Science
Article
License: CC BY NC ND
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Semantic Links Using SKOS Predicates

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

Semantic Links Using SKOS Predicates

Abstract

Abstract 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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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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