Observatorio de I+D+i UPM

Memorias de investigación
Ponencias en congresos:
Knowledge Base Evolution Analysis: A Case Study in the Tourism Domain
Año:2018
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
Stakeholders -- curator, consumer, etc. -- in the tourism domain routinely need to combine and compare statistical indicators about tourism. In this context, various Knowledge Bases (KBs) have been designed and developed in the Linked Open Data (LOD) cloud in order to support decision-making process in Tourism domain. Such KBs evolve over time: their data (instances) and schemes can be updated, extended, revised and refactored. However, unlike in more controlled types of knowledge bases, the evolution of KBs exposed in the LOD cloud is usually unrestrained, what may cause data to suffer from a variety of issues. This paper attempts to address the impact of KB evolution in tourism domain by showing how entity evolves over time using the 3cixty KB. We show that using multiple versions of the KB through time can help to understand inconsistency in the data collection process
Internacional
Si
Nombre congreso
TourismKG: 1st International Workshop on Knowledge Graphs on Travel and Tourism at ICWE2018
Tipo de participación
960
Lugar del congreso
Cáceres, España
Revisores
Si
ISBN o ISSN
978-3-030-03056-8
DOI
10.1007/978-3-030-03056-8_26
Fecha inicio congreso
05/06/2018
Fecha fin congreso
05/06/2018
Desde la página
268
Hasta la página
278
Título de las actas
Current Trends in Web Engineering. ICWE 2018. Lecture Notes in Computer Science, vol 11153. Springer, Cham
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Nandana Sampath Mihindukulasooriya (UPM)
  • Autor: Oscar Corcho Garcia (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial
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