Application Intelligence

Application Intelligence

Semantic Streams Augmentation

2026 Sebastián Samaruga. https://sebxama.blogspot.com 

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

This document describes a data integration and intelligence framework.

https://github.com/sebxama/sebxama/blob/main/Spec.pdf

Summary

This document describes a semantic RDF based data integration and intelligence framework proposal. By means of Aggregation, Alignment and Activation graphs stream processing in the form of Context, Subject, Predicate, Object Statements inputs: Infer graph Resource types, Occurrence Roles (Aggregation). Merge equivalent entities, complete missing attributes / links / relationships (Alignment). Infer Use Case types (Contexts / Roles) and Use Case executions (Interactions / Actors): Activation.

From raw source graph data in the form of RDF Statements, from any backend / datasource capable of being exported into an RDF graph, obtain an executable representation of the underlying models: integrated applications backends / datasources graph representations. Intra and inter integrated applications Use Cases will be discovered and exposed through an unified Contexts and Interactions API.

The underlying integrated applications backends / datasources are kept in sync with this framework inferences and Context(s) Interaction(s) data and state flows and transforms. The integrated applications keep working, reflecting changes made via these integration mechanisms, while this framework behaves as an interaction integration “agent”, capable of viewing and exposing an unified integration view of all the underlying integrated applications for further development of inter / intra application integration use cases.

A unified integration facade is generated from the semantic Contexts and Interactions inferred over the integrated datasource graph. Resource views expose the resulting integrated state; Interaction endpoints expose executable Contexts and state transitions; and each facade operation remains connected to the underlying Statements, Rules and application resources from which it was inferred.

The integrated facade is not a canonical CRUD API generated from a merged database schema. It is a semantic interaction facade generated from inferred Resources, Kinds, Relationships, Contexts, Roles, Actors and Interactions. Resource views provide unified read access, while Activation provides contextual operations whose execution may span multiple underlying applications.