metaphactory 4.4 introduces flexible data cataloging capabilities to experience data in context
We are excited to wrap up a fruitful 2021 by announcing the release of metaphactory 4.4 which comes with new data cataloging capabilities, a new look & feel, enhancements that further streamline the application building process, as well as a series of improvements that address end-user requirements and focus on providing a more intuitive user experience and interaction.
Knowledge graphs excel at breaking down data silos by integrating information from heterogeneous datasets stored across disparate sources. While integrated data access already brings tremendous benefits for end users, dataset metadata can deliver additional and vital context information for end-user tasks and connecting this metadata with the knowledge graph can lead to traceable and trustful decision intelligence.
With the new data cataloging capabilities introduced in this release, metaphactory accommodates for this need by making dataset metadata itself an integral part of the connected knowledge graph. Based on open standards (e.g., DCAT, Dublin Core), these new capabilities allow knowledge graph engineers to easily create, manage, or import existing dataset metadata at integration time. This ultimately also eases knowledge graph maintenance since dataset context information is integrated into the lifecycle process right from the beginning.
Exposed in search interfaces, knowledge panels, and custom dashboards, the dataset context information becomes immediately accessible to end users and domain experts (such as biologists, bioinformaticians, chemists, engineers, service managers, data stewards, researchers, etc.) when interacting with the data.
Have a look at the release notes or