Recommendation agents in intelligent query answering systems

In this paper, after the introduction of ontology-based knowledge bases and user models, a model of recommendation agents that can query over distributed knowledge bases with heterogeneity for web-based intelligent query answering systems is proposed, and the query answering process of these agents is analyzed. Ontologies are introduced to describe the semantic information of knowledge bases in order to express fully the semantics of queries in our web-based intelligent query answering system. This model improves the relevance of the query results. At the same time, it reflects the dynamic change of the information in the knowledge bases and reduces the consistency and efficiency problem caused by using globe ontology.