In this paper, we evaluate the existing reification approaches for expressing without asserting (EWA) statements in RDF along with their related contextual information and compare them with a new method, called Conjectures. Conjectures express RDF statements with three states of knowledge: undisputed claims, disputed claims, and settled claims. Conjectures extend the semantics of RDF Named graphs and introduce a new syntactical form to represent both conjectural and asserted information. Our evaluation tests were performed on a large sample of Wikidata entities about artworks interspersed with additional dummy statements to simulate alternative or abandoned claims and enrich the set of non-asserted claims. Our study evaluates metrics such as the total number of triples, loading time, dataset weight, and in particular query execution time for many different and meaningful types of queries. Results show that Conjectures is competitive with existing methods and outperforms other methods in terms of efficiency when retrieving debated statements, thereby demonstrating its potential as an effective tool for expressing nuanced RDF statements.

Valentina Pasqual, G.M. (2024). Evaluation of Expressing without asserting approaches in RDF. The case of Conjectures.

Evaluation of Expressing without asserting approaches in RDF. The case of Conjectures

Valentina Pasqual
;
Eduart Uzeir;Francesca Tomasi;Fabio Vitali
2024

Abstract

In this paper, we evaluate the existing reification approaches for expressing without asserting (EWA) statements in RDF along with their related contextual information and compare them with a new method, called Conjectures. Conjectures express RDF statements with three states of knowledge: undisputed claims, disputed claims, and settled claims. Conjectures extend the semantics of RDF Named graphs and introduce a new syntactical form to represent both conjectural and asserted information. Our evaluation tests were performed on a large sample of Wikidata entities about artworks interspersed with additional dummy statements to simulate alternative or abandoned claims and enrich the set of non-asserted claims. Our study evaluates metrics such as the total number of triples, loading time, dataset weight, and in particular query execution time for many different and meaningful types of queries. Results show that Conjectures is competitive with existing methods and outperforms other methods in terms of efficiency when retrieving debated statements, thereby demonstrating its potential as an effective tool for expressing nuanced RDF statements.
2024
Proceedings of the 20th Conference on Information and Research science Connecting to Digital and Library science (formerly the Italian Research Conference on Digital Libraries)
60
73
Valentina Pasqual, G.M. (2024). Evaluation of Expressing without asserting approaches in RDF. The case of Conjectures.
Valentina Pasqual, Gerald Manzano, Eduart Uzeir, Francesca Tomasi, Fabio Vitali
File in questo prodotto:
File Dimensione Formato  
paper7.pdf

accesso aperto

Tipo: Versione (PDF) editoriale
Licenza: Licenza per Accesso Aperto. Creative Commons Attribuzione (CCBY)
Dimensione 578.97 kB
Formato Adobe PDF
578.97 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/960109
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact