Scenario-oriented data interoperability: maximising the connection between data and users in collaboration environments

Abstract

In large-scale collaborative environments, data interoperability faces challenges due to varying data standards, differences in time and space, and rising demands for data services. Traditional methods focus on integrating resources but often miss the need for interoperability between users and data. This research introduces a new approach to data interoperability, which emphasises scenario-based strategies. We use topic analysis and context fusion to handle industry-specific terminology, making it easier for users to understand cross-speciality data. Our approach includes a concept-extended metamodel to address business logic differences and connect data with user scenarios. We tested our model in a railway company and found it effective and useful based on survey feedback.