一种基于情境的语义索引方法

搜索引擎中的索引方法是目前研究的活跃领域之一。为了解决基于关键字索引方法中由同义词和多义词带来的语义混淆与分歧问题，在已有的研究基础上，提出了一种语义索引方法。通过使用本体对索引中情境信息的细化来控制检索的范围，应用概念匹配的方式保证了检索结果相关程度并减少了漏检程度，同时给出了结果排序方法；利用该索引方法检索在精准程度方面有明显提高。实验表明，该方法提高了检索的查准率和查全率，排序具有较好的效果。

A semantic indexing method based on context

Indexing becomes an active area of current researches in search engines. In order to relieve the problem of semantic confusion or divergence caused by synonym and polysemy, based on the existing researches, a semantic indexing method is proposed. Through refining the contextual information with ontology in the index, the search range can be controlled well. The relevance is ensured and the missing degree is reduced by applying the concept matching retrieval approach. Additionally, a ranking method is given. The proposed method obviously improves the accuracy. The experiments show that the method enhances the precision and recall and the ranking method has a good effect.