ONLI: An ontology-based system for querying DBpedia using natural language paradigm

作者：

Highlights：

• Current mechanisms for information retrieval from knowledge bases demands a high level of expertise.

• Natural language processing hides the formality of a knowledge base as well as the executable query language.

• We propose an ontology-based system for retrieving information from DBpedia.

• The system has been evaluated in order to known its accuracy on how to find the correct answer into DBpedia.

摘要

•Current mechanisms for information retrieval from knowledge bases demands a high level of expertise.•Natural language processing hides the formality of a knowledge base as well as the executable query language.•We propose an ontology-based system for retrieving information from DBpedia.•The system has been evaluated in order to known its accuracy on how to find the correct answer into DBpedia.

论文关键词：Natural language processing,DBpedia,Ontology,Semantic Web

论文评审过程：Available online 26 February 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.02.034