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
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)
出处
《计算机辅助设计与图形学学报》
EI
CSCD
北大核心
2004年第12期1696-1702,共7页
Journal of Computer-Aided Design & Computer Graphics
基金
国家自然科学基金 (69773 0 19)
宁波市青年博士基金 (2 0 0 3A62 0 0 2 )资助
关键词
知识管理
语义查询
元信息
查询重写
knowledge management
semantic query
meta information
query rewriting
