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. 18. The method of claim 16 , wherein said parsing step further comprising the steps of: performing lexical analysis to decompose said natural language description to a token sequence of one or more instances of terminal tokens, said instances of terminal tokens comprising instances of a space token, instances of a punctuation token, instances of a function word token, and instances of a content word token; and performing syntactic analysis on said token sequence to obtain said at least one sequence of at least one content word, said sequence obtained by accumulation of a maximal subsequence of instances of the content word token, interspersed with instances of the space token.