Using Provenance for Quality Assessment and Repair in Linked Open Data

Flouris, G and Roussakis, Y and Poveda-Villalón, M and Mendes, Pablo N. and Fundulaki, I. (2012). Using Provenance for Quality Assessment and Repair in Linked Open Data. In: "11th International Semantic Web Conference", 12 November, 2012, Boston, Estados Unidos.

Description

Title: Using Provenance for Quality Assessment and Repair in Linked Open Data
Author/s:
  • Flouris, G
  • Roussakis, Y
  • Poveda-Villalón, M
  • Mendes, Pablo N.
  • Fundulaki, I.
Item Type: Presentation at Congress or Conference (Article)
Event Title: 11th International Semantic Web Conference
Event Dates: 12 November, 2012
Event Location: Boston, Estados Unidos
Title of Book: Joint Workshop on Knowledge Evolution and Ontology Dynamics
Date: November 2012
Subjects:
Faculty: Facultad de Informática (UPM)
Department: Inteligencia Artificial
UPM's Research Group: oeg
Creative Commons Licenses: None

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Abstract

As the number of data sources publishing their data on the Web of Data is growing, we are experiencing an immense growth of the Linked Open Data cloud. The lack of control on the published sources, which could be untrustworthy or unreliable, along with their dynamic nature that often invalidates links and causes conflicts or other discrepancies, could lead to poor quality data. In order to judge data quality, a number of quality indicators have been proposed, coupled with quality metrics that quantify the “quality level” of a dataset. In addition to the above, some approaches address how to improve the quality of the datasets through a repair process that focuses on how to correct invalidities caused by constraint violations by either removing or adding triples. In this paper we argue that provenance is a critical factor that should be taken into account during repairs to ensure that the most reliable data is kept. Based on this idea, we propose quality metrics that take into account provenance and evaluate their applicability as repair guidelines in a particular data fusion setting.

More information

Item ID: 14477
DC Identifier: http://oa.upm.es/14477/
OAI Identifier: oai:oa.upm.es:14477
Deposited by: Dr Oscar Corcho
Deposited on: 13 Feb 2013 11:06
Last Modified: 21 Apr 2016 14:10
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