Observatorio de I+D+i UPM

Memorias de investigación
Cursos, seminarios y tutoriales:
Tutorial on Generating and Querying Virtual Knowledge Graphs from Heterogeneous Data Sources
Año:2019
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
Despite the emergence of RDF knowledge bases, exposed via SPARQL endpoints or as Linked Data, formats like CSV, JSON or XML are still the most used for exposing data on the web. Some solutions have been proposed to describe and integrate these resources using mapping languages (e.g. RML, CSVW, kR2RML, etc) and many of those are equipped with associated RDF generators (e.g. RML-Mapper, CSVW generator, Karma, etc).that they can not manage efficiently the data when is volatile (they can retrieve not updated data) and the performance along the integration process is a key factor (rapid answers over the data) As these solutions generate materialized RDF, they cannot efficiently deal with volatile data or provide a SPARQL entry point directly to the data sources. In this tutorial, we explain how to use a suite of tools to manage and exploit data in heterogeneous formats (CSV, RDB, JSON or REST API) without the need to materialize the resulting RDF in a triple store. First, we present TADA, a tool for automatically annotating CSV files using existing Knowledge Graphs. Second, we present HELIO, a Linked Data publisher that provides a unified access in real-time to multiple heterogeneous data sources. Finally, we present an OBDA approach to exploit CSV published on the Web providing access via SPARQL or GraphQL
Internacional
Si
Nombre congreso
Extended Semantic Web Conference
Entidad organizadora
UPM
Nacionalidad Entidad
Sin nacionalidad
Lugar/Ciudad de impartición
Portoroz, Eslovenia
Fecha inicio
02/06/2019
Fecha fin
02/06/2019
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: David Chaves Fraga (UPM)
  • Autor: Ahmad Alobaid . (UPM)
  • Autor: Andrea Jesus Cimmino Arriaga (UPM)
  • Autor: Freddy Priyatna . (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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