【摘要】 在泛化和聚集语义关系基础上生成大量的子查询语句 ,同时按照与原始语句的语义距离将权值传递给子查询语句 该方法能够由关键字匹配得到大量的结果 ,通过OWA(OrderedWeightedAveraging)操作给每个结果赋予权值 ,合并这两部分权值 ,排序最终结果 ,并按照重要程度呈现给用户 文中将查询重写与权值传递统一在查询重写模板的概念中更多还原

【Abstract】 Based on the relation of the generalization and aggregation in ontology, our method produces a great number of subqueries from the original query Meanwhile, corresponding value is transferred to subquery from the original query according to the semantic distance We can also get the result by matching the keyword and give each result a weighted value reflecting the match degree of keyword after the ordered weighted averaging (OWA) operation We combine these two parts of weighted values and rank the result, the user can read the information in the order of importance In this paper, we unified the query rewriting and transfer of weighted value into the concept of query rewriting template (QRT)更多还原