多领域RDF数据集上的混合推理

Mixed reasoning on RDF data sets from multiple fields

资源描述框架(resource description framework,RDF)数据往往集中在单一领域进行前向推理,导致发现的知识单一有限且推理速度较慢,为此提出一种将多个领域的RDF数据关联起来进行混合推理的方法。采用网络本体语言(OWL)建立单个领域的RDF数据集,将各个单领域的数据集进行关联,通过加入混合规则,与jena推理机相结合进行知识的混合推理,获得丰富的语义信息。实验结果表明,该方法较传统的基于单一领域进行前向推理的方法能够推理出传统方法无法发现的隐含信息,提高了推理的速度。

Forward reasoning of RDF statistics on single field leads to limited found knowledge and slow reasoning process,a solution that mixed reasoning based on connecting RDF statistics from more than one field was proposed.The RDF data set of each single field was built with OWL,the data sets of all fields were connected,and the connected data were reasoned with mixed rules using jena inference machine.In this way,abundant semantic information was got.Experimental results show that compared to traditional methods,the proposed one can supply more information in more efficient way.