An Ontology-Based Methodology for Semantic Expansion Search

Matching search technology based on query keyword has been widely used by traditional search way. It still belongs to pure keyword matching and can not acquire satisfactory search results. The essential reason is that traditional Web search lacks semantic understanding to user´s search behaviors. In this study, we propose a novel ontology-based framework for semantic expansion search. Based on constructed domain ontology, semantic annotation algorithm and semantic expansion reasoning algorithm are presented in detail, which are associated with semantic annotation unit and semantic expansion reasoning engine respectively. Then a semantic search prototype system is designed and implemented. The experimental results show that semantic expansion search by proposed methodology can overcome limitations in comparison with traditional keyword search mode, and achieve higher recall ratio and precision ratio.