Commercial vs. Independent Content: Human and Financial Resources

Concerning their human and financial resources commercial media and independent content provider are an extremely unequal pair. While the 1998 revenues of the world's leading media conglomerates (AOL Time Warner, Disney, Bertelsmann, Viacom and the News Corporation) amounted to US$ 91,144,000,000 provider of independent content usually act on a non-profit basis and to a considerable extent depend on donations and contributions.

Also the human resources they have at their disposal quite differ. Viacom for example employs 112,000 people. Alternative media conversely are mostly run by a small group of activists, most of them volunteers. Moreover the majority of the commercial media giants has a multitude of subsidiaries (Bertelsmann for instance has operations in 53 countries), while independent content provider in some cases do not even have proper office spaces. Asked about their offices number of square meters Frank Guerrero from RTMark comments "We have no square meters at all, because we are only on the web. I guess if you add up all of our servers and computers we would take up about one or two square meters."

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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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