Automation of Assigning Managed Metadata for GNOSIS Search Optimization

“Automation of Assigning Managed Metadata for GNOSIS Search Optimization” is a project developed to address inefficiencies in document classification within GNOSIS, an enterprise document management system built on Microsoft SharePoint. Manual metadata tagging is time-consuming, error-prone, and leads to inconsistent data, which negatively impacts searchability and content organization. This project proposes an automated solution using C# scripting and the Microsoft Graph API to seamlessly interact with SharePoint Online. The system leverages the Managed Term Store to access a predefined taxonomy. Based on document names or content logic, relevant metadata tags are applied automatically. Development was carried out in Visual Studio Code, using the .NET framework for building a lightweight, scalable, and maintainable solution. The Microsoft Graph API enables secure access to SharePoint document libraries, allowing the script to retrieve file properties and assign metadata programmatically. This automation improves document discoverability, ensures consistent tagging, enhances collaboration, and reduces manual workload. The project highlights how modern development tools and APIs can be effectively utilized to optimize metadata management in enterprise environments.