Digital Commercial Content Starting in the mid 1990s today most traditional media can also be found online. The overwhelming majority of bigger newspapers and periodicals, but also radio and TV stations now complement their classic media formats with digital programming. For the most part they transform existing analogue information in digital form, with some additional features. Especially the big media conglomerates, having realized the economic potential of the Internet, have started to get into the business of digital content. Not surprisingly their engagement in the virtual sphere has not brought much new concerning their programming. They offer entertainment, music, sports and some news channels. One of the reasons for this development might be, that the big commercial media companies are able to re-use already existing programming from their other ventures. Examples are Viacom's MTV Network, which now has a twin online or Time Warner's CNN, which on the Web is called CNN Interactive. Considering business economic factors this move suggests itself as hardly any further resources are needed and the already existing programming can be put in the Internet at little extra cost. Also, regarding the undeniable success of their traditional content in terms of revenue generation the digital reproduction of their classic programming concept seems to be an obvious step.

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Expert system Expert systems are advanced computer programs that mimic the knowledge and reasoning capabilities of an expert in a particular discipline. Their creators strive to clone the expertise of one or several human specialists to develop a tool that can be used by the layman to solve difficult or ambiguous problems. Expert systems differ from conventional computer programs as they combine facts with rules that state relations between the facts to achieve a crude form of reasoning analogous to artificial intelligence. The three main elements of expert systems are: (1) an interface which allows interaction between the system and the user, (2) a database (also called the knowledge base) which consists of axioms and rules, and (3) the inference engine, a computer program that executes the inference-making process. The disadvantage of rule-based expert systems is that they cannot handle unanticipated events, as every condition that may be encountered must be described by a rule. They also remain limited to narrow problem domains such as troubleshooting malfunctioning equipment or medical image interpretation, but still have the advantage of being much lower in costs compared with paying an expert or a team of specialists.

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