摘要：With the trend of scientific resources getting more important and the resource amount turning to massive, the precision and scalability become key factor of the scientific service system. This study builds the Scientific Service Instant Response System (SSIRS) with the technology of semantic web , cloud computing and parallel processing. For OWL data reasoning, the method which is used to transform scientific datainto OWL data was proposed and the composite suggestion algorithm was achieved. MapReduce programming model was used to process data and the task abstract on multi-core with TBB was done. The experiment result showed that the SSIRS improves the searching efficiency, precision and scalability.
