Grid Computing pp 249-273 | Cite as

Phoenix: Employing Smart Logic to a New Generation of Semantically Driven Information Systems

  • Aggelos Liapis
  • Nasos Mixas
  • Nikitas Tsopelas
Part of the Computer Communications and Networks book series (CCN)


The pervasive connectivity of the Internet, coupled with an increasing distribution of organizations, is introducing profound changes in the way enterprises are set up and operated and are intensifying the forces within and across enterprises. To remain competitive under this environment, organizations need to move fast and to quickly adapt to business-induced changes. It must be able to sense the salient information, transform it into meaningful, quality business metrics, respond by driving the execution of business decisions into operational systems; and finally track the results against actions and expectations. In parallel with this trend, there have been interesting developments in the fields of Intelligent Agents (IA) and Distributed Artificial Intelligence (DAI), notably in the concepts, theories, and deployment of intelligent agents as a means of distributing computer-based problem-solving expertise. Intelligent agents are well suited to the emerging character of the adaptive enterprise in which the distributed operations must be orchestrated into a synchronous flow. Despite various efforts in studying object-oriented or agent-oriented adaptive enterprises, there are no working systems being widely used in practice. This is because the state of the art of artificial intelligence has not reached to a stage such that an adaptive system can be operated effectively without human beings involvement. In this chapter, we introduce a prototype semantically driven communication middleware platform (Phoenix), which comprises a set of features, services, and utilities providing RAD capabilities to modern business frameworks and systems. Phoenix has been designed and developed to serve as a central hub for building Web-based applications through its supported functionality, and/or for interconnecting them together and with other external Web-based applications.


Message Exchange Optical Character Recognition Business Process Execution Language Service Assembly Business Process Execution Language Process 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  1. 1.Research & Development DepartmentEuropean Dynamics SAAthensGreece
  2. 2.European Dynamics SAAthensGreece

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