Memorias de investigación
Ponencias en congresos:
KBQ - A Tool for Knowledge Base Quality Assessment Using Evolution Analysis
Año:2017
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
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/
Internacional
Si
Nombre congreso
KCAP2017 Workshop on Machine Reading
Tipo de participación
960
Lugar del congreso
Austin, Texas
Revisores
Si
ISBN o ISSN
1613-0073
DOI
Fecha inicio congreso
04/12/2017
Fecha fin congreso
04/12/2017
Desde la página
58
Hasta la página
63
Título de las actas
Proceedings of Workshops and Tutorials of the 9th International Conference on Knowledge Capture (K-CAP2017) CEUR Vol 2065 http://ceur-ws.org/Vol-2065/
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial