Democracy Concepts of the Fundamentalist Parties of Algeria and Tunisia – Claim and Reality

This article discusses democratic elements in early Islamic sources and in the programs of the Algerian FIS (Front Islamique du Salut) and ANNAHDA in Tunesia. According to historic writings, Islam includes the principles of democratic consensus, consultation, and freedom of opinion, and an understanding that the sources of Islamic jurisdiction are subject to interpretation, that the sharia can be changed, and that religious authorities’ power to issue instructions on worldly matters is limited. These are the type of expectations that fundamentalist parties arouse when they speak of an Islamic caliphate as a state system. Against this background, an examination of the political system proposed until 1992 by the Algerian FIS shows that this system would have resulted in a very restrictive form of Islam. An investigation of the political system of the Tunisian fundamentalist leader Rached al-Ghannouchi reveals that the system he proposes may be designated as an Islamic democracy, since it takes into account separation of powers and pluralism of political parties. The head of state would be subject to the law in the same manner as the people. However, it is no liberal democracy, as he categorically rejects secularism, intends to punish apostates, and is only willing to allow political parties that are based on the religion of Islam. His state would only be a state of those citizens who follow Islam, completely neglecting secularist groups. Social conflicts and unrest are thus predetermined.

Integrating structured and unstructured data in a business-intelligence-system

The recent liberalization of the German energy market has forced the energy industry to develop and install new information systems to support agents on the energy trading floors in their analytical tasks. Besides classical approaches of building a data warehouse giving insight into the time series to understand market and pricing mechanisms, it is crucial to provide a variety of external data from the web. Weather information as well as political news or market rumors are relevant to give the appropriate interpretation to the variables of a volatile energy market. Starting from a multidimensional data model and a collection of buy and sell transactions a data warehouse is built that gives analytical support to the agents. Following the idea of web farming we harvest the web, match the external information sources after a filtering and evaluation process to the data warehouse objects, and present this qualified information on a user interface where market values are correlated with those external sources over the time axis.