A Hybrid Model for Distributed Semantic Queries

Semantic based queries are greatly paid attention to because its aim is to help users to find what they really want. In this paper, we proposed an efficient hybrid model for distributed semantic queries based on open distributed environments. Meanwhile, a feasible ranking strategy based on semantic overlap is introduced to rank answering results of semantic queries from multiple sources. Multi-agent technologies can be successfully applied to develop our case system across multiple and distributed ontologies. The experimental evaluations show that our approximate model is efficient to perform semantic query tasks in heterogeneous environments.