Constructing a natural language interface for semantic web based sports news aggregator.

Tracking #: 1483-2695

This paper is currently under review
Authors: 
Dzung Tuan Cao
Quang-Minh Nguyen

Responsible editor: 
Guest Editors ENLI4SW 2016

Submission type: 
Full Paper
Abstract: 
News search using conventional methods based on keyword search often does not return results with the containing contents what does not meet users’ desires. We aim to develop a news aggregation system, called BKSport, focusing on sport domain supporting the semantic search function. The news search subsystem takes a natural language question as input and returns relevant news corresponding to the semantic of question, including the answer and related information. In this research, we propose a novel method to transform natural language questions to semantic queries based on SPARQL to query RDF data in the semantic data store. Experiments are performed on a set of questions of various different categories, and the results show that the proposed method provides high precision.
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