Memorias de investigación
Cursos, seminarios y tutoriales:
REAL-TIME LINK DATA GENERATION
Año:2019

Áreas de investigación
  • Ingenierías

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, etc). 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 load the resulting RDF in a triple store for querying it. 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 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
Generating and querying (Virtual) Knowledge Graphs from heterogeneous data sources
Entidad organizadora
Extended Semantic Web Conference
Nacionalidad Entidad
Sin nacionalidad
Lugar/Ciudad de impartición
Portoro?, Slovenia
Fecha inicio
02/06/2019
Fecha fin
06/06/2019

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