Recent and intensive research in the biomedical area has led to the accumulation and dissemination of biomedical knowledge through various knowledge bases increasingly available on the Web. However, to effectively exploit this knowledge will require the creation of links between these bases. Linked Data technologies such as SPARQL, as well as interface for Natural Language question-answering provide interesting solutions for querying such knowledge bases. The latter may prove more beneficial, as life-science researchers may have difficulty using the SPARQL language. In this paper, the authors propose a method for translating natural language questions into SPARQL queries using Natural Language Processing tools, semantic resources and RDF triples.
URL: http://www.semantic-web-journal.net/system/files/swj1096.pdf
Keywords: SPARQL, Natural Language, Knowledge base, Linked Open Data, Semantic annotation
Author: Mougin, Fleur
Publisher: IOS Press
Date created: 2015-05-28 04:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P25M
Educational use: professionalDevelopment
Educational audience: teacher-educationSpecialist
Interactivity type: expositive