摘要： 针对RDF在语义检索中存在的问题，利用Jena工具，提出一种提取和处理RDF层本体处理的方法，给出基于Jena的实现算法。将RDF层本体信息从网页中分离并构建RDF模型，对RDF模型进行集合运算，查询、修正以及序列化RDF层本体。实验结果证明了该算法的实用性，缩短了查询时间，提高了检索的查全率及查准率。

关键词: 本体, Jena工具, 语义检索

Abstract: To solve the problem of RDF existing in the semantic retrieval, a new method is proposed which puts forward a Jena-based Web page ontology extracting and processing method on the common RDF level of ontology. An implementation algorithm based on Jena is given. The algorithm is composed of five parts: extracting the RDF model, setting operation of the different RDF models, querying, modifying, and serialization of the RDF model. The validity of the method is proved with a practical case. Experimental results show that the search time is shortened, and the recall and precision are improved in the semantic retrieval.

Key words: ontology, Jena tool, semantic retrieval

中图分类号: 

• TP311