Query Expansion Approach Based On Ontology and Local Context Analysis

In information query process, query expansion can effectively resolve the problem related to low query efficiency caused by ambiguous short query terms. This study proposes a query expansion approach based on ontology and local context analysis. Ontology-based query expansion enables the addition of standardized descriptive information for search query, while local context analysis, through document library analysis, offers more relevant information for inquiry. We combine advantages of the two methods to expand the keywords semantically. Experimental analysis indicates that our method can effectively improve the search recall and precision.