Based on the OSGi framework LIS isomers Big data collection practice

Abstract

The collection and utilization of big data information is changing the concept and method of collecting data. For the new situation map information acquisition, the challenge than the greatest collection of vast amounts of heterogeneous information from the network, extraction, analysis and other operations. Heterogeneous network information such as blogs, news and user behaviors are gradually becoming an important part of the attention and collection in the field of graphics. At the same time, the collection of heterogeneous big data information is a difficult problem for the graphic workers. In this paper, through the heterogeneous big data collection mechanism of OSGi framework, the application of graph-related big data is practiced, and it is hoped that it can provide a heterogeneous graph information collection idea for peers.