该文设计并实现了基于本体的航空领域问答系统,该问答系统采用面向领域本体的问题分类方法和结构化语义信息提取方法,将自然语言问题转换为SPARQL查询语句,在本体知识库中检索答案。实验结果表明,该系统能够处理该领域内的大部分常见问题,取得了82.97%的平均准确率。
Abstract
We design and implement an ontology-based QA system for aviation domain, It adopts the approach of classifying questions with the help of domain-specific ontology and obtains structural semantic information for the question. Then the question is converted into SPARQL query for answer extraction. The experimental result shows that the system can understand most of the questions with a precision rate of 82.97%.
关键词
问答系统 /
本体知识库 /
问题类型 /
结构化语义
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Key words
Question answering system /
ontology knowledge base /
question type /
structural semantic
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参考文献
[1]Lopez V, Fernandez M, Motta E, Stieler N. PowerAqua: Supporting users in querying and exploring the Semantic Web[J]. Sematic Web Journal, 2011,3(3):249-265.
[2] Unger C, Cimiano P. Pythia: Compositional meaning construction for ontology-based question answering on the Semantic Web[C]//Proceedings of the 16th International Conference on Applications of Natural Language to Information Systems, 2011:153-160.
[3] 李茹,王文晶,梁吉业,等. 基于汉语框架网的旅游信息问答系统设计[J]. 中文信息学报, 2009,23(2): 34-40.
[4] 张巍. 融合FAQ、本体和Jena推理机技术的问答系统研究[D]. 太原理工大学博士学位论文,2011:153-160.
[5] 李伟刚,张克亮,王慧兰. 基于航空领域本体知识库的语义检索研究[C]//第十一届全国计算语言学年会,2011.
[6] 戴维民. 语义网信息组织技术与方法[M]. 上海: 学林出版社,2008.
[7] 刘杰,樊孝忠,王涛. 基于本体的受限领域问答系统研究[J]. 广西师范大学学报,2009, 3(1):169-173.
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