Integration of decision support systems to improve decision support performance

Decision support system (DSS) is a well-established research and development area. Traditional isolated, stand-alone DSS has been recently facing new challenges. In order to improve the performance of DSS to meet the challenges, research has been actively carried out to develop integrated decision support systems (IDSS). This paper reviews the current research efforts with regard to the development of IDSS. The focus of the paper is on the integration aspect for IDSS through multiple perspectives, and the technologies that support this integration. More than 100 papers and software systems are discussed. Current research efforts and the development status of IDSS are explained, compared and classified. In addition, future trends and challenges in integration are outlined. The paper concludes that by addressing integration, better support will be provided to decision makers, with the expectation of both better decisions and improved decision making processes

IC-Service: A Service-Oriented Approach to the Development of Recommendation Systems

Recommendation systems have proven to be useful in various application domains. However, current solutions are usually ad-hoc systems which are tightly-coupled with the application domain. We present the IC-Service, a recommendation service that can be included in any system in a loosely coupled way. The implementation follows the principles of service oriented computing and provides a solution to various problems arising in recommendation systems, e.g. to the problem of meta-recommendation systems development. Moreover, when properly configured, the IC-Service can be used by different applications (clients), and several independent instances of the IC-Service can collaborate to produce better recommendations. Service architecture and communication protocols are presented. The paper describes also ongoing work and applications based on the IC-Service

The Semantic Grid: A future e-Science infrastructure

e-Science offers a promising vision of how computer and communication technology can support and enhance the scientific process. It does this by enabling scientists to generate, analyse, share and discuss their insights, experiments and results in an effective manner. The underlying computer infrastructure that provides these facilities is commonly referred to as the Grid. At this time, there are a number of grid applications being developed and there is a whole raft of computer technologies that provide fragments of the necessary functionality. However there is currently a major gap between these endeavours and the vision of e-Science in which there is a high degree of easy-to-use and seamless automation and in which there are flexible collaborations and computations on a global scale. To bridge this practice–aspiration divide, this paper presents a research agenda whose aim is to move from the current state of the art in e-Science infrastructure, to the future infrastructure that is needed to support the full richness of the e-Science vision. Here the future e-Science research infrastructure is termed the Semantic Grid (Semantic Grid to Grid is meant to connote a similar relationship to the one that exists between the Semantic Web and the Web). In particular, we present a conceptual architecture for the Semantic Grid. This architecture adopts a service-oriented perspective in which distinct stakeholders in the scientific process, represented as software agents, provide services to one another, under various service level agreements, in various forms of marketplace. We then focus predominantly on the issues concerned with the way that knowledge is acquired and used in such environments since we believe this is the key differentiator between current grid endeavours and those envisioned for the Semantic Grid

The Black Diamonds of Bahia (Carbonados) and the Building of Euro-America: A Half-century Supply Monopoly (1880s-1930s)

This paper traces the birth, maturity and decline of what was Bahia’s natural supply monopoly of black or industrial diamonds: first used in polishing materials (for consumption); then in drilling; and by 1940 they were employed in making parts for the Third Reich’s premier fighter plane, the Messerschmitt bF 109. The evolution in the way these stones were produced, the agents involved in production and distribution, and how the income was distributed along the commodity chain are examined. The importance of technological change is documented with the huge boost in demand for industrial diamonds when the Leschot diamond-head drill was invented (1863). The First World War cut off Bahia from traditional intermediaries and opened up a space for North American capital. A great surge in black diamond production in Bahia was led by the Bandler Corporation of New York, which introduced modern machine-based mining in the late 1920s; but the Great Depression doomed the venture. Between 1931 and 1941, keen secret competition arose to secure access to Bahia’s diamonds between the rising Axis and the Allied powers given the crucial role these stones played in making the modern weapons of war. The first section analyses the emergence of Brazil’s natural monopoly in black diamonds. The second points out the crucial importance technological change (the Leschot diamond-head drill). The next section develops a unique analysis of how earnings were distributed along the black diamond commodity chain at the turn of the twentieth century. The final section underscores how the Great War created a vacuum into which North American capital plunged, such that by the late 1920s for the first time modern machinery was being used for the mass production of black diamonds in Brazil. While the Great Depression frustrated these efforts, the looming Axis and Allied contenders carried out secret schemes to secure Brazil’s black diamonds so central to the execution of modern war