计算机工程与应用2011，Vol.47Issue(2)：118-120,3.DOI:10.3778/j.issn.1002-8331.2011.02.037
浅层语义分析及SPARQL在问答系统中的应用
Application of shallow semantic analysis and SPARQL in question answering system.
摘要
Abstract
To solve the problem of the answer extraction of restricted-domain question answering system,a question answering system model based on shallow semantic parsing is presented. A natural language interface is provided, the ontology of the hospital information is utilized and shallow semantic parsing technology is applied in the model.According to the rules of the definition and determination of semantic chunk, the question vector is firstly generated,then SPARQL query technology is utilized,the answer is obtained by querying in the ontology. The experiments proves that it is feasible to use the method to develop a question answering system,it is valuable for further study in more depth.关键词
问答系统/浅层语义分析/自然语言处理Key words
question answering system/ shallow semantic analysis/nature language processing分类
信息技术与安全科学引用本文复制引用
张巍,陈俊杰..浅层语义分析及SPARQL在问答系统中的应用[J].计算机工程与应用,2011,47(2):118-120,3.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant No.60970059) （the National Natural Science Foundation of China under Grant No.60970059）
山西省国际科技合作计划项目(the International Scientific and Technological Cooperation Projects of Shanxi Province of China under Grant No.2009081022). （the International Scientific and Technological Cooperation Projects of Shanxi Province of China under Grant No.2009081022）
