Mixed reasoning on RDF data sets from multiple fields
Xue Xiao-l · Jisuanji gongcheng yu sheji · 2015
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.