Memorias de investigación
Communications at congresses:
Sematch: Semantic Entity Search from Knowledge Graph
Year:2015

Research Areas
  • Telematics

Information
Abstract
As an increasing amount of the knowledge graph is published as Linked Open Data, semantic entity search is required to develop new applications. However, the use of structured query languages such as SPARQL is challenging for non-skilled users who need to master the query language as well as acquiring knowledge of the underlying ontology of Linked Data knowledge bases. In this article, we propose the Sematch framework for entity search in the knowledge graph that combines natural language query processing, entity linking, entity type linking and semantic similarity based query expansion. The system has been validated in a dataset and a prototype has been developed that translates natural language queries into SPARQL.
International
Si
Congress
SumPre 2015 - 1st International Workshop on Summarizing and Presenting Entities and Ontologies Co-located with the 12th Extended Semantic Web Conference (ESWC 2015)
960
Place
Portoroz, Slovenia
Reviewers
Si
ISBN/ISSN
Start Date
01/06/2015
End Date
01/06/2015
From page
To page
Participants

Research Group, Departaments and Institutes related
  • Creador: Departamento: Ingeniería de Sistemas Telemáticos