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Sematch: semantic entity search from knowledge graph
Cita
Zhu, Ganggao and Iglesias Fernández, Carlos Ángel 
ORCID: https://orcid.org/0000-0002-1755-2712
(2015).
Sematch: semantic entity search from knowledge graph.
En: "SumPre 2015 - 1st International Workshop on Summarizing and Presenting Entities and Ontologies", 1/06/2015, Portoroz, Slovenia. pp. 1-12.
ORCID: https://orcid.org/0000-0002-1755-2712
(2015).
Sematch: semantic entity search from knowledge graph.
En: "SumPre 2015 - 1st International Workshop on Summarizing and Presenting Entities and Ontologies", 1/06/2015, Portoroz, Slovenia. pp. 1-12.
Descripción
| Título: | Sematch: semantic entity search from knowledge graph |
|---|---|
| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | SumPre 2015 - 1st International Workshop on Summarizing and Presenting Entities and Ontologies |
| Fechas del Evento: | 1/06/2015 |
| Lugar del Evento: | Portoroz, Slovenia |
| Título del Libro: | Joint Proceedings of the 1st International Workshop on Summarizing and Presenting Entities and Ontologies and the 3rd International Workshop on Human Semantic Web Interfaces (SumPre 2015, HSWI 2015) co-located with the 12th Extended Semantic Web Conferen |
| Fecha: | 2015 |
| Volumen: | 1556 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | Entity Search, Semantic Search, Query Expansion, Semantic Similarity, Knowledge Graph |
| Escuela: | E.T.S.I. Telecomunicación (UPM) |
| Departamento: | Ingeniería de Sistemas Telemáticos |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
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.
Proyectos asociados
Tipo
Código
Acrónimo
Responsable
Título
FP7
FP7-ENV-2013 Project 6038
SmartOpenData
Sin especificar
Sin especificar
Más información
| ID de Registro: | 41776 |
|---|---|
| Identificador DC: | https://oa.upm.es/41776/ |
| Identificador OAI: | oai:oa.upm.es:41776 |
| URL Oficial: | http://km.aifb.kit.edu/ws/sumpre2015/paper4.pdf |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 07 May 2017 10:40 |
| Ultima Modificación: | 01 Abr 2023 09:39 |
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