The Approach to Applications Integration for World Data Center Interdisciplinary Scientific Investigations

Abstract

The approach to applications integration for World Data Center (WDC) interdisciplinary scientific investigations is developed in the article. The integration is based on mathematical logic and artificial intelligence. Key elements of the approach-a multilevel system architecture, formal logical system, implementation-are based on intelligent agents interaction. The formal logical system is proposed. The inference method and mechanism of solution tree recovery are elaborated. The implementation of application integration for interdisciplinary scientific research is based on a stack of modern protocols, enabling communication of business processes over the transport layer of the OSI model. Application integration is also based on coordinated models of business processes, for which an integrated set of business applications are designed and realized.

Simple and Flexible Way to Integrate Heterogeneous Information Systems and Their Services into the World Data System

“…The mentioned models and methods should be devoid of the drawbacks characteristic of the algorithmic approach, related to the need to reprogram data processing algorithms upon the emergence of new data types and changes in the implemented algorithms or the emergence of new ones. At the data processing level, such a solution should ensure [18,22]:…”

“…Thus, it is possible to line up a simple and effective system, in which the search for the necessary services or the construction of their composition for the complex queries inherent in interdisciplinary research will not require a lot of time, as every Orchestrator Service has information on the functionality of inferior services, and in addition they can coordinate their possibilities in the process of the planning and execution of users' queries. Plugging new services into the system will not present a particular problem either, as doing so will only require the service description to be laid down, entered into the registry, and assigned to a certain orchestrator service [18,22]. Such an approach will work when users know exactly their information needs and have corresponding knowledge and skills to compile chains of queries to the known orchestrators.…”

“…The principal tenet for the creation of a distributed system is the method of organizing services interaction [18,22,23].…”

“…The system's knowledge base consists of the ontology of axioms depicting methods of system services and the ontology of data sources described in the OWL language based on RDF. The knowledge base also includes the inference rules necessary to obtain the desired result when it is required to combine methods of a single service or of different services [18,22,23].…”

“…To obtain from the proof generated by the inference mechanism a functional sequence of actions to be used by our system, taking account of services features and nature, the solution scheme reconstruction mechanism should be initiated [18,22].…”