Intelligence benevolent tools: A global system automating integration of structured and semistructured sources in one process

Abstract

In this article, we investigate a global mechanism that merges and automates interoperability of heterogeneity structured and semistructured sources in one process. In particular, we introduce the intelligence benevolent tool (IBT) system comprised of tools like assertions, integration rules, conceptual model constructs, and agents that boost the architectural components' versatility to reconcile the semantics involved in data sharing. Going by the title, the term benevolent in this case refers to tools' ability to do what they are told to do. In this way, the tools shall rejuvenate the system's intelligence to withstand the test of time against the existing terrifically dynamic computer technology in the present and future information age. The first three IBTs are passive objects, whereas the agent has a strong versatility to perceive events, perform actions, communicate, make commitments, and satisfy claims. The IBT's vast intelligence allows the system to filter out and process only the relevant operational sources such as preferences (i.e., customer's interest) from the sites. In addition, the IBT's richness in knowledge and flexibility to accommodate various data models manages to smoothly link system-to-system or firm-to-firm regardless of any field such as engineering, insurance, medicine, space science, and education, to mention a few.

Improved Accuracy Evaluation of Schema Matching Algorithms

“…Matching is also involved in [14] where authors provide a solution to reconcile the semantics of structured and semi-structured data. This solution is also geared towards flexibility and knowledge accumulation.…”