The Design And Implementation Of Quality Inspection Platform For Civil Judgement Documents

In order to implement the strategic thought of building China into a cyberpower,the Supreme People's court attaches great importance to information construction.They have successively built and operated four major judicial open platforms,including China Judgements Online,China Judicial Process Information Online,China Execution Information Online,and China Court Trial Online.It realized The informatization and openness of key nodes of judicial business,which truly facilitate the public and transparent law enforcement.As the carrier of recording the whole process and key information of the case,the judgment document is the essential basic data in the public information.As the data comes from the people's courts at all levels in various provinces and cities,it is inevitable to make mistakes in the process of sorting and uploading.Therefore,how to measure the quality of judicial data with a huge amount to ensure the authenticity and effectiveness of the open data has become a common problem for technicians and judicial professionals.Based on the knowledge of data quality and information quality assessment,this paper divides the data into structured and unstructured according to the format.Based on the actual needs of the scene,the design of assessment indicators is completed from subjective and objective dimensions.For structured information,mainly including tag data which can be extracted by keywords.In this paper,data quality is measured by the commonly used measurement method,combined with the measurement dimension mentioned in the objective information theory.It covers seven categories: delicacy,delay,authenticity,integrity,consistency,readability and accuracy.15 detailed evaluation indexes are designed according to the requirements of civil judgment documents.For the unstructured information of text type in data,we pay more attention to the quality of semantic and pragmatic information contained in it.In this paper,with the help of supervised machine learning and deep learning technology,we take the large number of data accumulated in the system as positive training samples with high information quality to simulate the artificial information quality evaluation process.With the help of the index design and calculation method above,this paper uses the Flask framework to complete the design and implementation of the civil document quality measurement platform,and use the SQLAlchemy in the backend storage to complete the mapping of database tables and data to classes and object in code.Besides,we also use the Flasgger to generate the interface document and test automatically,providing the interface which obey the Restful standard.In order to implement distributed task scheduling,we use Celery with Redis as the message broker to distribute the asynchronous tasks.The platform includes four modules: user management,data interaction,quality inspection and model training.It provides users with the whole process quality measurement services of data upload,document analysis,quality evaluation and evaluation results visualization.