Observatorio de I+D+i UPM

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

• Autor: David Chaves Fraga (UPM)
• Autor: Ahmad Alobaid . (UPM)
• Autor: Andrea Jesus Cimmino Arriaga (UPM)
• Autor: Freddy Priyatna . (UPM)
• Autor: Oscar Corcho Garcia (UPM)

• Creador: Grupo de Investigación: Ontology Engineering Group
• Departamento: Inteligencia Artificial