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:
盛秋艳;印桂生. 基于Jena的动态语义检索方法[J]. 计算机工程, 2009, 35(16): 62-64.
SHENG Qiu-yan; YIN Gui-sheng. Jena-based Dynamic Semantic Retrieval Method[J]. Computer Engineering, 2009, 35(16): 62-64.