Ideally, a query mechanism for Linked Data should abstract users from the representation of data. This work focuses on the investigation of a vocabulary
independent natural language query mechanism for Linked Data, using
an approach based on the combination of entity search, a Wikipedia-based
semantic relatedness measure and spreading activation.

URL: https://www.lri.fr/~cr/Publications_Master_2012/BrigitteSafar/Freitas_NLDB_2011.pdf
Keywords: Vocabulary, Query, DBpedia, Semantic Relatedness, Named Entity Recognition, Natural Language
Author: da Silva, Joao Carlos Pereira
Date created: 2012-01-01 05:00:00.000
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P20M
Educational use: instruction
Educational audience: teacher-educationSpecialist
Interactivity type: expositive