101.824 visitas
desde 31/12/1969
 
 
 
  PUBLICAÇÕES    

DETALHES


Autoria: • Carla Faria
• Rosario Girardi
• Paulo Novais
Título: Analysing the Problem and Main Approaches for Ontology Population
Complemento: 10th International Conference on Information Technology : New Generations
Resumo: Knowledge systems are a suitable computational
approach to solve complex problems and to provide decision
support. Ontologies are an approach for knowledge
representation and Ontology Population looks for instantiating
the constituent elements of an ontology, like properties and
non-taxonomic relationships. Manual population by domain
experts and knowledge engineers is an expensive and time
consuming task. Thus, automatic or semi-automatic
approaches are needed. This paper discusses the problem of
Automatic Ontology Population and proposes a generic
process specifying its phases and what kind of techniques can
be used to perform the activities of each phase. Some
techniques representing the state of the art of this field are also
described along with the solutions they adopt for each phase of
the AOP process with their advantages and limitations. This
work is part of HERMES, a Brazil/Portugal research
cooperation project looking for techniques and tools for
automating the process of ontology learning and population.
Palavras-chave: ontology population; ontology; natural language processing
Local: Las Vegas, Nevada, USA
Data: 15 a 17 de abril de 2013
Meio: Anais de eventos
Vínculo: www.itng.info
Arquivo: Analysing the Problem and Main Approaches for Ontology Population.zip


Atualizado em 03/11/2016
UNIVERSIDADE FEDERAL DO MARANHÃO
CENTRO DE CIÊNCIAS EXATAS E TECNOLOGIA
DEPARTAMENTO DE INFORMÁTICA