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A Policy Interpretation Method Based on Data Joint Service

A policy and data technology, applied in electronic digital data processing, text database indexing, metadata text retrieval, etc., can solve the problem of limited content of policy interpretation, application analysis, etc.

Active Publication Date: 2020-06-02
北京同方软件有限公司
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  • Claims
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AI Technical Summary

Problems solved by technology

Therefore, the analytical content of existing policy interpretation applications is obviously limited.

Method used

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  • A Policy Interpretation Method Based on Data Joint Service
  • A Policy Interpretation Method Based on Data Joint Service
  • A Policy Interpretation Method Based on Data Joint Service

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Embodiment Construction

[0050] see Figure 1 to Figure 11 , the present invention is a policy interpretation method based on data joint logistics service, which is based on the unified metadata management system, constructing a named entity dictionary library based on metadata, a data resource system based on metadata, and Metadata-based application service resources, centered on the policy knowledge map, combined with the data resource system and application service resources for policy interpretation of policy analysis; the specific method is:

[0051] 1) Metadata management:

[0052] Carry out the design of metadata, that is, put the metadata into the metadata management system after data standardization and standardization. Metadata management is the foundation and core of standardization and standardization of data resources. Through metadata management, a unified metadata system that fully describes data resources and service resources can be established, and various resources in the system c...

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Abstract

The invention discloses a policy interpretation method based on data joint service, and relates to the technical field of policy interpretation aided scientific decision making. The method comprises the following steps: 1) metadata management: storing metadata into a metadata management system after the metadata is subjected to data standardization and normalization; 2) data fusion: 2.1) data source management, 2.2) knowledge extraction, 2.3) data resource system construction and 2.4) application service resource construction; 3) policy interpretation. Compared with the prior art, the method has the advantages that a policy interpretation mode of a user is not single any more, and evolution of three forms, namely data integration, data fusion and final data joint service, of a data resource socialization process is completed by means of technologies such as big data and semantic recognition. And a government affair interpretation scheme capable of directly serving social government multi-objective decisions is constructed. According to the scheme, on the basis of traditional policy interpretation, data analysis support and application analysis support are provided, so that policy interpretation is more scientific and comprehensive.

Description

technical field [0001] The invention relates to the technical field of policy interpretation aided scientific decision-making, in particular to a policy interpretation scheme based on data joint service. Background technique [0002] Traditional policy interpretation is usually a qualitative interpretation and analysis of current policies. Our policy interpretation program conducts an in-depth analysis of current policies based on the integration of massive qualitative and quantitative data. First, we use big data technology to widely collect multivariate data, then use natural language processing technology to deconstruct the collected semi-structured and unstructured data, combine named recognition technology to identify named entities in documents, and establish a government affairs knowledge graph. Including policies, interpretations, approval documents, institutions, regions, time, keywords, abstracts, etc. For structured business data, we automatically extract busine...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/36G06F16/38G06F16/335G06F16/338G06F40/295G06F40/242G06F16/31
CPCG06F16/313G06F16/335G06F16/338G06F16/367G06F16/38
Inventor 席壮华李小华郝斌贾文庆李艳芳潘向雷吴卫卜凯东鑫涛
Owner 北京同方软件有限公司
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