Observatorio de I+D+i UPM

Memorias de investigación
Courses, Seminars and tutorials:
Enriching the Semantic Web with Linguistic Information - Tutorial at ESWC 2011
Year:2011
Research Areas
  • Computer systems
Information
Abstract
The purpose of this tutorial is to introduce, motivate and detail models for representing linguistic information relative to ontologies and linked data vocabularies with the aim of improving the quality and scope of applications that work with natural language. The continuing growth of ontologies for semantic modeling and the use terminological resources to ground these ontologies in human language has raised the issue of how to add linguistic information to ontologies and linked data vocabularies and to represent models of lexical and terminological information in a way which is compatible with Semantic Web standards. While ontologies have proved useful for capturing knowledge, proposals for incorporating complex linguistic information into Semantic Web models and processing systems have emerged only recently. The tutorial will show current and new practices on how to represent and integrate linguistic knowledge into knowledge resources and their potential for enhancing NLP applications. We will present models for enriching semantic models with linguistic information by conforming to current practice in the fields of the Semantic Web, Computational Linguistics and Language Resources. It is targeted at researchers and practitioners interested in learning how to enrich ontologies with linguistic information in one or several natural languages and NLP tool developers interested in understanding how Semantic Web resources can be leveraged fro NLP. There will be two hands-on sessions in this tutorial
International
Si
Congress
ESWC 2011
Entity
ESWC 2011
Entity Nationality
Sin nacionalidad
Place
Creta, Grecia
Start Date
29/05/2011
End Date
29/05/2011
Participants
  • Autor: Elena Montiel Ponsoda (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial
S2i 2019 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)