The ontology underlying Wikidata has not been formalized. Instead, its semantics emerges from the use of its classes and properties. Flexible rules and suggestions have been defined by the Wikidata project for the use of its ontology, however, it is still often difficult to reuse the ontology’s constructs. In this paper, we describe a method for extracting emerging patterns from (a domain-specific portion of) Wikidata, in the form of statistically frequent domain-property-range triplets. We show the results of our experiments on a Wikidata subset addressing the music domain, and compare them with the current support present in Wikidata. These patterns can provide guidance for the use of the Wikidata ontology and its potential improvement.
Valentina Anita Carriero, P.G. (2022). Towards improving Wikidata reuse with emerging patterns. Aachen : CEUR Workshop Proceedings.
Towards improving Wikidata reuse with emerging patterns
Valentina Anita Carriero
;Valentina Presutti
2022
Abstract
The ontology underlying Wikidata has not been formalized. Instead, its semantics emerges from the use of its classes and properties. Flexible rules and suggestions have been defined by the Wikidata project for the use of its ontology, however, it is still often difficult to reuse the ontology’s constructs. In this paper, we describe a method for extracting emerging patterns from (a domain-specific portion of) Wikidata, in the form of statistically frequent domain-property-range triplets. We show the results of our experiments on a Wikidata subset addressing the music domain, and compare them with the current support present in Wikidata. These patterns can provide guidance for the use of the Wikidata ontology and its potential improvement.File | Dimensione | Formato | |
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