@conference{zhu2015,
author = "Zhu, Ganggao and Iglesias, Carlos A.",
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.",
address = "Portoroz, Slovenia",
booktitle = "SumPre 2015 - 1st International Workshop on Summarizing and Presenting Entities and Ontologies Co-located with the 12th Extended Semantic Web Conference",
issn = "1613-0073",
keywords = "entity search;semantic search;query expansion;semantic similarity;knowledge graph",
month = "June",
organization = "ESWC",
title = "{S}ematch: {S}emantic {E}ntity {S}earch from {K}nowledge {G}raph",
url = "http://ceur-ws.org/Vol-1556/paper2.pdf",
volume = "1556",
year = "2015",
}