16. A method for processing a collection of resource notices to construct a topic taxonomy and classify resources to topics, comprising the steps of: receiving at least one notice, said notice comprising: a reference to a resource, and a natural language description of said resource; parsing said natural language description to obtain at least one sequence of at least one content word; associating a topic category with said sequence; recursively computing generic topics using non-empty subsequences of content words from the sequence associated with the tonic category, wherein the generic topics are used to automatically construct a taxonomy of topics for classifying resources to topics; and associating said resource with said topic category.
16. A method for processing a collection of resource notices to construct a topic taxonomy and classify resources to topics, comprising the steps of: receiving at least one notice, said notice comprising: a reference to a resource, and a natural language description of said resource; parsing said natural language description to obtain at least one sequence of at least one content word; associating a topic category with said sequence; recursively computing generic topics using non-empty subsequences of content words from the sequence associated with the tonic category, wherein the generic topics are used to automatically construct a taxonomy of topics for classifying resources to topics; and associating said resource with said topic category. 17. The method of claim 16 , further comprising the step of: standardizing the form of a word from said sequence of at least one content word, including any means of normalizing case, stemming, and substitution of synonyms.