Observatorio de I+D+i UPM

Memorias de investigación
Courses, Seminars and tutorials:
Multilingual Linked Licensed Data: Paving the way towards maximising (Re)Usability of Language Resources
Research Areas
  • Information technology and adata processing
Linked Data (LD) and related technologies are providing the means to connect high volumes of disconnected data at Web-scale and producing a huge global knowledge graph. The key benefits of applying LD principles to datasets are: (i) better modelling of datasets as directed labelled graphs, (ii) structural interoperability of heterogeneous resources, (iii) federation of resources from different sources and at different layers including language annotation, (iv) a strong ecosystem of tools based on RDF and SPARQL, (v) improved conceptual interoperability due to strong semantic models such as OWL and shared semantics due to linking and (vi) dynamic evolution of resources on the web. In this talk, I will explore challenges related with the (Re)Usability of linked metadata in several domains. I will argue that for maximizing (re)use of linked metadata it is crucial to represent core aspects related with Linguistic, Provenance, License, and Dataset metadata. A proper representation of these features using W3C standards and the use of W3C best practices and guidelines for multilingual Linked Licensed Data: (i) produce better linked metadata that could be used later on for diagnosing and repairing other external resources; (ii) facilitate rights management, and consequently the access and reuse of metadata and data delivered under different license schema;(iii) enable navigation across datasets in different languages thanks to the exploitation of links across multilingual data; (iv) help data providers and data consumers to go a step further when cataloguing, searching and building cross-lingual applications that use open library linked metadata;and (v) increase exploitation when library linked metadata will be used with licensed (open or closed) linked data in other domains. I will also present approaches that use datos.bne.es library linked metadata with geographical information to produce new insights and innovation.
Knowledge Professional Interest community at IBM Research
Entity Nationality
Yorktown, EEUU
Start Date
End Date
  • Autor: Asuncion de Maria Gomez Perez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)