| 摘要 |
The present invention relates to a method for detecting changes in parallel processing-based triple data, which searches triples added to/deleted from target triples, based on source triple data, with respect to source/target triple data. The method comprises the steps of: (a) creating a triple group by subject from triple data; (b) aligning triples in the triple group; (c) comparing the number of source triples with that of target triples in the triple group; (d) comparing the entire source triples with the entire target triples when the numbers are identical to each other; (e) respectively comparing the source triples and the target triples in the triple group and making a list of added triples and a list of deleted triples, when the entire source triples and the entire target triples are different from each other; (f) determining whether the number of the source triples or the number of the target triples is zero when the numbers are different from each other and performing step (e) when the number is not zero; and (g) including the source triples or the target triples in the list of the added triples or the list of the deleted triples, when the number of the source triples or the number of the target triples is zero. The method for detecting changes in triple data as described above can process the comparison of RDF triple data in parallel to detect changes in RDF triples even in a distributed environment consisting of a number of computers, thereby processing large-scale RDF triple data. |
