An increasing amount of data is published and consumed on the Web according to the Linked Open Data (LOD) paradigm. In such scenario, capturing the age of data can provide insight about their validity under the hypothesis that more up-to-date data is, more likely is to be true. In this paper we present a model and a framework for assessing the currency of the data represented in one of the most important LOD datasets, DBpedia. Existing currency metrics are based on the notion of date of last modification, but often such information is not explicitly provided by data producers. The proposed framework extrapolates such temporal metadata from time-labeled revisions of Wikipedia pages (from which data has been extracted). Experimental results demonstrate the usefulness of the framework and the effectiveness of the currency evaluation model to provide a reliable indicator of the validity of facts represented in DBpedia.

Rula, A., Panziera, L., Palmonari, M., Maurino, A. (2014). Capturing the currency of DBpedia descriptions and get insight into their validity. In Proceedings of the 5th International Workshop on Consuming Linked Data (COLD 2014) co-located with the 13th International Semantic Web Conference (ISWC 2014). CEUR Workshop Proceedings.

Capturing the currency of DBpedia descriptions and get insight into their validity

RULA, ANISA
;
PANZIERA, LUCA
Secondo
;
PALMONARI, MATTEO LUIGI
Penultimo
;
MAURINO, ANDREA
Ultimo
2014

Abstract

An increasing amount of data is published and consumed on the Web according to the Linked Open Data (LOD) paradigm. In such scenario, capturing the age of data can provide insight about their validity under the hypothesis that more up-to-date data is, more likely is to be true. In this paper we present a model and a framework for assessing the currency of the data represented in one of the most important LOD datasets, DBpedia. Existing currency metrics are based on the notion of date of last modification, but often such information is not explicitly provided by data producers. The proposed framework extrapolates such temporal metadata from time-labeled revisions of Wikipedia pages (from which data has been extracted). Experimental results demonstrate the usefulness of the framework and the effectiveness of the currency evaluation model to provide a reliable indicator of the validity of facts represented in DBpedia.
paper
Currency; Data quality; DBpedia; Information extraction; Linked data; Validity; Computer Science (all)
English
International Workshop on Consuming Linked Data (COLD 2014) Co-Located with the 13th International Semantic Web Conference (ISWC 2014)
2014
Proceedings of the 5th International Workshop on Consuming Linked Data (COLD 2014) co-located with the 13th International Semantic Web Conference (ISWC 2014)
2014
1264
http://ceur-ws.org/Vol-1264/
open
Rula, A., Panziera, L., Palmonari, M., Maurino, A. (2014). Capturing the currency of DBpedia descriptions and get insight into their validity. In Proceedings of the 5th International Workshop on Consuming Linked Data (COLD 2014) co-located with the 13th International Semantic Web Conference (ISWC 2014). CEUR Workshop Proceedings.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/58645
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