Observatorio de I+D+i UPM

Descripción
More and more Knowledge Graphs are generated for private, e.g. Siri, Alexa, or public use, e.g. DBpedia, Wikidata. While techniques to automatically generate Knowledge Graph from existing Web objects exist (i.e., scraping Web tables), the majority need extensive resources. Those with limited resources typically generate Knowledge Graphs by transforming the content of their datasets (RDB, CSV, etc). Initially, generating Knowledge Graphs from existing datasets was considered an engineering task, however scientific methods recently emerged. Lately, mapping languages for describing rules to generate knowledge graphs and processors to execute those rules emerged. Addressing the challenges related to Knowledge Graphs generation requires well-founded research, including the investigation of concepts and development of tools and methods for their evaluation. KGB is a full-day workshop on Knowledge Graph generation with a special focus on Mapping Languages. It is co-located with the Extended Semantic Web Conference 2019 (ESWC2019). The main goal is to provide a venue for scientific discourse, systematic analysis and rigorous evaluation of languages, techniques and tools, as well as practical and applied experiences and lessons-learnt for generating knowledge graphs from academia and industry.
Internacional	Si
Nombre congreso	Extended Semantic Web Conference
Entidad organizadora	UPM, Ghent University, Capsenta
Nacionalidad Entidad	Sin nacionalidad
Lugar/Ciudad de impartición	Portoroz, Eslovenia
Fecha inicio	03/06/2019
Fecha fin	03/06/2019

Esta actividad pertenece a memorias de investigación

• Autor: David Chaves Fraga (UPM)
• Autor: Freddy Priyatna . (UPM)
• Autor: Anastasia Dimou (IDLab, Ghent University)
• Autor: Pieter Heyvaert (IDLab, Ghent University)
• Autor: Juan Sequeda (Capsenta)

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