# DDXF

## Introduction

The increasing dependence of businesses, organizations and institutes on internet systems has significantly increased the pressure on existing infrastructures to meet the needs of end users.

As a consequence, there is increasing demand for connected **IoT** or internet systems.

Traditional resource management, including information databases and analytics architectures and infrastructures, remain essential. With the growing data management demands, there are specific needs in terms of sheer capacity and capability to be able to handle diverse and complex data streams from different sources. This data needs to be processed and managed properly to maximize its value in a secure manner, while complementing it with other information sources.

**Ontology's Distributed Data Exchange Framework (DDXF)** defines an infrastructure framework and guidelines to support comprehensive **data processing** and **management**, while incorporating reasonable measures to achieve a **layered**, **data-centric** paradigm. As a result of extensive research on the characteristics of effective data processing and management systems, **DDXF** is focusing on the **data interoperability**, **classification**, **format** and **security issues** that affect various stakeholders.

![DDXF Framework](https://1077617372-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-LvPXC4l2V4Z8gRDNIoZ%2F-LvskKw8s9Pwh0-imBPd%2F-LvskNkg09Xg3pGSSol4%2Fddxfcomponents.png?generation=1576131466421658\&alt=media)

It provides a series of **methods** and **interfaces** to meet the requirements of **trust** and **data interoperability** across **multiple systems**, which serves multiple business requirements and scenarios, especially the **data exchange** scenarios.