Dominik Tilman
Project owner
Unique Knowledge Graph for Source and Content Reliability
TrustLevel proposes a comprehensive solution to assess the reliability and objectivity of textual information across various domains. Their approach involves integrating diverse data sources, structured knowledge graph development, and multifaceted analysis. By doing so, they aim to provide users with a powerful tool for evaluating text objectivity.
The project consists of several key components, including sentiment analysis, named entity recognition, clickbait detection, source reputation analysis, and the creation of a structured knowledge graph. Users will have access to a query interface that allows them to interact with the knowledge graph and perform complex analyses.
TrustLevel outlines a detailed budget breakdown for the project, divided into five milestones, spanning 14 weeks. Each milestone focuses on specific aspects of the project, such as system architecture design, knowledge graph development, text analysis integration, query interface development, and final documentation.
To mitigate potential risks, TrustLevel emphasizes proactive communication, compatibility analysis, and alternative APIs/sources in case of technical challenges or data quality issues. They also provide optional tasks to ensure project completion even if the scope or timing becomes a concern.
Overall, TrustLevel's proposal demonstrates a well-structured plan to address the RFP's goals by leveraging a knowledge graph and various text analysis tools to assess text objectivity comprehensively.