旅游网站中的景点查询是针对单一选项的基于关键字的查询,查询结果不能完全令用户满意.为了解决这一问题,文中将本体和描述逻辑应用到景点查询中,提出了一种新方法.该方法首先依据景点领域本体对景点进行语义标注,然后将获取的用户查询请求预处理后提交给推理机,推理机则将景点知识库转化为概念包含结构,并将查询请求预处理后插入到该概念包含结构中.最后通过匹配算法,将推理结果按满意度返回给用户.实验证明,该方法能够提高查全率和查准率,从而证明了该方法的可行性和有效性.%All kinds of tourism websites have already provided the function of scenery spot query. However, the current scenery spot queries are still queries based on keyword for single option. And queried results can not completely make users satisfied. It applies ontology and description logic to scenery spot queries to realize semantic retrieval of scenery spot. This strategy firstly finishes semantic annotation for scenery spot according to domain ontology. When query requirement is submitted to the reasoncr, scenery spot knowledge base is transformed into concept inclusion structure by reasoner. Then the preprocessed query requirement is inserted into concept inclusion structure. Finally the query results are obtained and returned to users according to matching algorithm. Experiment verifies feasibility and validity of the strategy.
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