Scientific Development Research

In response to the current issues of departmental segmentation, system heterogeneity, and difficulty in data sharing in urban road detection information, this paper takes the main urban area of a certain city as an example, systematically analyzes the causes and typical case impacts of information silos, and proposes a collaborative sharing strategy led by the government with multi-departmental participation. The research has constructed a multi-dimensional solution covering organizational mechanisms, data standards, interface specifications, and security management, including a JSON-LD-based data meta-model, a RESTful interface system, a coordinate conversion mechanism, and an RBAC permission control model. Through pilot implementation and quantitative evaluation, the effectiveness of the strategy in improving data consistency, reducing duplicate detection, and shortening response time has been verified. The research provides a replicable technical path and implementation framework for the digital governance of urban road infrastructure.

Data silos; Metamodel; Interface standard; Permission control; Semantic integration