12. A computer-implemented method of comparing two or more documents, comprising: linguistically analyzing a plurality of documents to identify at least one term group in each document, each term group comprising a main term and at least one subordinate term semantically related to the main term; generating a semantic vector associated with each document, the semantic vector comprising a plurality of components, each component including: a term group as a scalar in the document; a frequency value relating to a number of occurrences of the term group; and processing the semantic vector by a digital computer; and comparing a semantic vector of an identified document to the semantic vector for each document in the plurality of documents to determine at least one document semantically similar to the identified document using a defined metric, wherein said metric measures the semantic distance between documents as a function of at least the frequency values included in the semantic vectors for the documents, and wherein said metric is related to: Sqrt(f1 2 +f2 2 +f3 2 +f4 2 + +f(N−1) 2 fN 2 )*100n 2 wherein f is a difference in frequency of a common term between the plurality of documents and n is the number of terms those documents have in common.
12. A computer-implemented method of comparing two or more documents, comprising: linguistically analyzing a plurality of documents to identify at least one term group in each document, each term group comprising a main term and at least one subordinate term semantically related to the main term; generating a semantic vector associated with each document, the semantic vector comprising a plurality of components, each component including: a term group as a scalar in the document; a frequency value relating to a number of occurrences of the term group; and processing the semantic vector by a digital computer; and comparing a semantic vector of an identified document to the semantic vector for each document in the plurality of documents to determine at least one document semantically similar to the identified document using a defined metric, wherein said metric measures the semantic distance between documents as a function of at least the frequency values included in the semantic vectors for the documents, and wherein said metric is related to: Sqrt(f1 2 +f2 2 +f3 2 +f4 2 + +f(N−1) 2 fN 2 )*100n 2 wherein f is a difference in frequency of a common term between the plurality of documents and n is the number of terms those documents have in common. 13. The method of claim 12 , wherein the main term includes synonyms of the main term.