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.

Information as Property

Information is widely regarded as one of the key concepts of modern society. The production, distribution and use of information are some of the key aspects of modern economies. Driven by technological progress information has become a good in its own right. This established an information economy and challenged the law to provide an apt framework suitable to promote the production of information, enable its distribution and efficient allocation, and deal with the risks inherent in information technology. Property rights are a major component of such a framework. However, information as an object of property rights is not limited to intellectual property but may also occur as personality aspects or even tangible property. Accordingly, information as property can be found in the area of intellectual property, personality protection and other property rights. This essay attempts to categorize three different types of information that can be understood as a good in the economic sense and an object in the legal sense: semantic information, syntactic information and structural information. It shows how legal ownership of such information is established by different subjective rights. In addition the widespread debate regarding the justification of intellectual property rights is demonstrated from the wider perspective of informational property in general. Finally, in light of current debates, this essay explores whether “data producers” shall have a new kind of property right in data.