Title :
CDQA: An ontology-based question answering system for Chinese delicacy
Author :
Wenke Yin ; Weiyi Ge ; Heng Wang
Author_Institution :
Sci. & Technol. on Inf. Syst. Eng. Lab., Nanjing, China
Abstract :
The problem that information stored in semantic web is hard to access is becoming more and more obvious, and the characteristics of question answering make it have a bright prospect. This paper presents an ontology-based Chinese delicacy question answering system named CDQA. We first proposed a new query triple representation to model complex questions with multiple modifications and clauses. Then a general method for transforming Chinese question into query triple representation was presented. Finally CDQA proposed a stepping searching method, which can better control the search process. Experiment results showed that CDQA can get a good performance.
Keywords :
natural language processing; ontologies (artificial intelligence); query processing; question answering (information retrieval); semantic Web; CDQA; Chinese question transformation; model complex questions; multiple clauses; multiple modifications; ontology-based Chinese delicacy question answering system; query triple representation; search process; semantic Web; stepping searching method; Algorithm design and analysis; Kernel; Knowledge discovery; Ontologies; Pragmatics; Search engines; Semantic Web; Ontology; Query triple; Question answering; Semantic web;
Conference_Titel :
Cloud Computing and Intelligence Systems (CCIS), 2014 IEEE 3rd International Conference on
Print_ISBN :
978-1-4799-4720-1
DOI :
10.1109/CCIS.2014.7175693
