Abstract:
Exemplary embodiments of the present invention relate to a method and apparatus for big data parallel inference. A method for data parallel inference according to an embodiment of the present invention comprises generating a predetermined network comprising a pattern network and a join network based on rule files and a predetermined algorithm; performing a pattern matching test for input data in parallel on a plurality of pattern matching means by loading the pattern network to each of the plurality of pattern matching means and distributing the inputted data to the plurality of pattern matching means; and inferring new data by performing a join matching test for the data which has passed the pattern matching test. According to embodiments of the present invention, new data can be inferred by analyzing accurately and fast big data.
Abstract:
Apparatus and method for connecting NoSQL data and linked data are provided. The method includes converting the NoSQL data into RDF data, and issuing the converted RDF data as the linked data; collecting extended linked data extended by connecting the issued linked data and external linked data; and storing the collected extended linked data as the NoSQL data. Accordingly, a dynamic virtuous circulation structure capable of utilizing advantages and mutually compensating for disadvantages of each of the NoSQL data and the linked data can be constructed.