Implicit relation-based question answering to answer simple questions over DBpedia

Abstract

RDF-based question answering systems give users the capability of natural language querying over RDF data.In order to respond to natural language questions, it is necessary that the main concept of the question be interpretedcorrectly, and then it is mapped to RDF data. A natural language question includes entities, classes, and implicit andexplicit relationships. In this article, by focusing on identification and mapping of implicit relationships in the question(in addition to the explicit relationships), the mapping step has been improved. In the proposed solution (IRQA), entitiesand implicit/explicit relationships are identified by means of the provided rules and then will be presented as a graph.In the next phase, according to the determined priority of graph nodes, unknown nodes and their adjacent relationshipsare mapped to their peers in the RDF dataset. The proposed solution is evaluated on the QALD-3 test set. The resultsprove that the proposed work has improved performance in mapping implicit relationships and reveals higher precisionand F-measure values.