该文借助汉语框架网(Chinese FrameNet,简称CFN)在语义表达方面的独特优势,探讨用本体描述语言建立面向特定领域的汉语框架语义知识库,并且以旅游交通领域中问答系统设计为例分析方法的有效性。方法中首先利用TREC分类与本体分类相结合的方式为查询问句分类,然后提出基于CFN的问句分析策略,通过CFN语义分析得到问句中三元组:语义谓词、语义主体和语义客体,在问句分析的基础上从旅游本体知识库中对答案进行抽取并对答案处理,同时用本体编辑工具Protege编码,实验证实方法是有效的。
Taking advantage of the semantic expression in Chinese FrameNet (CFN), this paper discusses the construction of the domain specific Chinese FrameNet semantic base using owl, and validate and analyze its effectiveness by the design of Question Answering System in the transportation domain. In the proposed QA system, the query questions are first classified by a combination of the TREC categories and the ontology categories. Then we propose a question analysis strategy based on the CFN, aiming at the triple of the question: Semantic predicate, semantic subject and semantic object. On the basis of the CFN semantics analysis, the answer is extracted from the tourism ontology base. This approach is implemented by the ontology editor Protege, and the experiment proves the validness of this method.