Learning and Reformulation for Efficient Multidatabase Retrieval

9313993 Knoblock 知识管理中的一个重要且困难的问题是如何有效地从分布式、异构多数据库系统中检索信息。 该项目通过利用更丰富的数据库知识来优化多数据库查询来解决这个问题。 这个想法是利用数据库内容的语义知识将查询重新构造为等效但更便宜的查询。 利用这些知识，潜在的成本降低远远超过单独从约定查询优化中获得的成本降低。 由于所需的语义知识可以从任何数据库中学习，因此该方法适用于其他知识密集型系统。 ***

9313993 Knoblock An important and difficult problem in Knowledge Management is how to efficiently retrieve information from distributed, heterogeneous multidatabase systems. This project addresses this problem by bringing to bear a richer set of knowledge about databases to optimize multidatabases queries. The idea is to use semantic knowledge of the contents of databases to reformulate queries into equivalent yet less expensive ones. Using this knowledge, the potential cost reduction is significantly more than can be derived from convention query optimization alone. Since the semantic knowledge required can be learned from any database, this approach is applicable to other Knowledge-intensive systems. ***