Chapters: Compound Statements,
Sets and counting problems,
Probability theory,
Vectors and matrices,
Computer programming,
Statistics,
Linear programming and the theory of games,
Applications to the behavioral and managerial sciences
The W3C's Semantic Web project has been described in many ways over the last few years: an extension of the current web in which information is given well-defined meaning, a place where machines can analyze all the data on the Web, even a Web in which machine reasoning will be ubiquitous and devastatingly powerful. The problem with descriptions this general, however, is that they don't answer the obvious question: What is the Semantic Web good for?