An exploration of SHACL 1.2 UI and its potential for creating forms and views, drawing parallels to the earlier XForms technology. The article discusses the benefits of declarative UI generation, dynamic properties, and security features.
The article explores SHACL 1.2 UI as a powerful, declarative approach to building forms and views for RDF data, drawing parallels to the earlier (and ultimately unsuccessful) XForms standard. The author argues that SHACL 1.2 UI offers benefits like consistent data presentation, automated form generation, dynamic property computation, and enhanced security, potentially revolutionizing how we interact with data on the web. While current tooling is limited, existing DASH-compatible tools can be adapted, and the author envisions a future where data itself dictates its presentation, reducing the need for costly and inconsistent manual form creation.
The article explores SHACL 1.2 UI as a powerful, declarative approach to building forms and views for RDF data, drawing parallels to the earlier (and ultimately unsuccessful) XForms standard. The author argues that SHACL 1.2 UI offers benefits like consistent data presentation, automated form generation, dynamic property computation, and enhanced security, potentially revolutionizing how we interact with data on the web. While current tooling is limited, existing DASH-compatible tools can be adapted, and the author envisions a future where data itself dictates its presentation, reducing the need for costly and inconsistent manual form creation.
The article explores how modern AI agents are fulfilling the vision of the Semantic Web by combining AI's learned intuition with the logical structure of semantic technologies, creating intelligent agents that can understand and act on behalf of users.
This paper proposes the Knowledge Graph of Thoughts (KGoT) architecture for AI assistants, integrating LLM reasoning with dynamically constructed knowledge graphs to reduce costs and improve performance on complex tasks like the GAIA benchmark.
