Abstract
Currently, with the rapid development of industry, the amount of data generated by industrial enterprises and industrial business website is exponential growth, and the big data has different types. In this paper, we design and implement an industrial big data information acquisition and query system. The system is based on big data acquisition and analysis of industry news data and industrial products data. We use a template based information acquisition method to crawl data from industry related news data and industry products data. We also discuss the query performance of text industry data with text index and only by SQL without index. The system is useful for analysis the hot news in industrial field and industry public opinion, and it is also useful for providing reference and rapid search and comparison of the relevant industrial products price, inventory and other information.
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CITATION STYLE
Wang, J., Peng, Y., Lin, Y., & Wang, K. (2017). Template based industrial big data information extraction and query system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10387 LNCS, pp. 247–254). Springer Verlag. https://doi.org/10.1007/978-3-319-61845-6_25
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