Research on Ontology-Based Uyghur Semantics Retrieval Model

Traditional Uyghur search engine lacks semantic information, to solve this problem, we propose a semantic retrieval model which is comprised of resources collection, semantic annotation, query analysis and results ranking. On the basis of establishing the relationship between the ontology concept and web document, we implement the automatic semantic annotation of documents and the expansion of user´s query, then sort the search results by computing the semantic similarity between the query and web documents. The experiments validate the effectiveness and the feasibility of the model preliminarily.