New Exploration of Legal Research Based on Big Data Technique

The transformation of the “computing paradigm” of law is conducive to removing the fragmentation problem of “law + information technology”. The development of computational law requires the construction of an interdisciplinary academic community to enhance the level of legal scientific research and modern legal capabilities in the era of ubiquitous computing in many countries. Based on the knowledge graph in the judicial field, this paper designs an automatic question answering system. The judicial domain corpus database constructed in this paper can solve the shortage of public data sets in the current judicial domain to a certain extent. Under the big data environment, we build a knowledge graph and automatic question answering to provide reference for the research of Chinese knowledge graph construction technology and automatic question answering technology in other fields. Experiments show that the proposed nework can ensure the efficient extraction of entities and relationships in legal text information.