Value Creation of Public Service Resources Based on Big Data Driven from the Perspective of Platform Integration

Abstract

On the public service platform, resource integration and scheduling based on big data drive is the foundation and key of value creation of public service resources. This paper analyses the possibility and mechanism of value creation of superior resources on big data-driven public service platform, puts forward the path of value creation of public service resources, and deeply studies the resource intelligent allocation strategy based on public service platform in big data environment. In view of the unstructured characteristics of public service resources, this strategy introduces the concepts of connection depth and connection breadth of ontology tree, optimizes the calculation of ontology semantic distance and similarity function, and proposes a hierarchical intelligent public service resource allocation algorithm for the massive and substantial data and resources on public service platform. This strategy can not only realize rapid rent-seeking and accurate matching of resources on public service platform, but also integrates and intelligently allocates resources according to the needs and tasks, greatly reduces the generation of fragmented resources, reduces the difficulty and complexity of resource management by independent stakeholders, and expands the space of resource value creation.