Memorias de investigación
Communications at congresses:
KBQ - A Tool for Knowledge Base Quality Assessment Using Evolution Analysis
Year:2017
Research Areas
  • Information technology and adata processing
Information
Abstract
Knowledge bases are becoming essential components for tasks that require automation with some degrees of intelligence. It is crucial to establish automatic and timely checks to ensure highlevel quality of the knowledge base content (i.e., entities, types, and relations). In this paper, we present KBQ, a tool that automates the detection and report generation of quality issues for evolving knowledge bases. KBQ analyzes the evolution of a KB by measuring the frequency of change, the change pattern, the change impact and the causes of changes of resources and properties. Data collection and profiling tasks are performed using Loupe, an online tool for linked data profiling. We describe KBQ in action on two different use cases, and we report the benefits that it introduced. KBQ is published as open source project, and a demo is available at http: //datascience.ismb.it/shiny/KBQ/
International
Si
Congress
KCAP2017 Workshop on Machine Reading
960
Place
Austin, Texas
Reviewers
Si
ISBN/ISSN
1613-0073
Start Date
04/12/2017
End Date
04/12/2017
From page
58
To page
63
Proceedings of Workshops and Tutorials of the 9th International Conference on Knowledge Capture (K-CAP2017) CEUR Vol 2065 http://ceur-ws.org/Vol-2065/
Participants
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial