Increasing size of web leads to relevant information extraction by traditional and last query expansion methods not to be efficient and encounter an essential challenge. Therefore, to improve query expansion, in this paper, a novel hybrid method called HQEBSKG is introduced. In the first part, a new and efficient technique is proposed based on semantic knowledgebase to expand users’ queries. In the following part, a useful method based on semantic relations between words is also suggested for query expansion. In the current work, to achieve the semantic relations, FarsNet and WordNet ontologies are used simultaneously to enrich knowledge resources. The experimental results show performance improvement.

网络规模的增加导致通过传统的和最后的查询扩展方法提取相关信息效率不高，并遇到基本挑战。因此，为了提高查询扩展性，本文引入了一种新的混合方法，称为 HQEBSKG。第一部分提出了一种基于语义知识库扩展用户查询的高效新技术。在接下来的部分中，还提出了一种基于词间语义关系的有用方法来扩展查询。在目前的工作中，为了实现语义关系，同时使用 FarsNet 和 WordNet 本体来丰富知识资源。实验结果表明性能有所提高。