Knowledge Generalization during Hierarchical Structures Integration

Abstract

Hierarchical data structures are common in modern applications. Tree integration is one of the tools that is not fully researched in this scope. Therefore in this paper we define a complex tree to model common hierarchical structures. Complex tree integration aim is determined by specific integration criteria. In this paper we define and analyze a criterion measuring generalization of knowledge --- upper semantic precision. We analyze the criterion in terms of simpler syntactic criteria and describe an extended example of an information retrieval system using this criterion.