KBQ: a tool for Knowledge Base Quality assessment using evolution analysis

Rashid, Mohammad and Rizzo, Giuseppe and Mihindukulasooriya, Nandana Sampath and Torchiano, Marco and Corcho, Oscar (2017). KBQ: a tool for Knowledge Base Quality assessment using evolution analysis. In: "9th International Conference on Knowledge Capture (K-CAP2017)", 4-6 Dic 2017, Austin, Estados Unidos. pp. 58-63.

Description

Title: KBQ: a tool for Knowledge Base Quality assessment using evolution analysis
Author/s:
  • Rashid, Mohammad
  • Rizzo, Giuseppe
  • Mihindukulasooriya, Nandana Sampath
  • Torchiano, Marco
  • Corcho, Oscar
Item Type: Presentation at Congress or Conference (Article)
Event Title: 9th International Conference on Knowledge Capture (K-CAP2017)
Event Dates: 4-6 Dic 2017
Event Location: Austin, Estados Unidos
Title of Book: K-CAP2017 Workshops and Tutorials
Date: 2017
Volume: 2065
Subjects:
Freetext Keywords: Knowledge Base; Linked Data; Quality assessment; Quality issues; Evolution analysis
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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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/

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainTIN2013-46238-C4-2-RBES-2014-068449Universidad Politécnica de Madrid4V: Volumen, Velocidad, Variedad y Validez en la gestión innovadora de datos - UPM

More information

Item ID: 50321
DC Identifier: http://oa.upm.es/50321/
OAI Identifier: oai:oa.upm.es:50321
Official URL: http://ceur-ws.org/Vol-2065/paper13.pdf
Deposited by: Memoria Investigacion
Deposited on: 21 May 2019 08:58
Last Modified: 06 Nov 2019 06:20
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