14. The computer-implemented of claim 13 , wherein the application is configured to independently calculate the first and second relevance values based on each individual document element selected from: (i) an occurrence of the set of search terms in the summary of the document and (ii) an occurrence of the set of search terms in the text of the document; wherein the application is configured to independently calculate the first and second relevance values based on each individual document element selected from: (i) a further occurrence of term associations in the summary of the document and (ii) a further occurrence of term associations in the text of the document.
14. The computer-implemented of claim 13 , wherein the application is configured to independently calculate the first and second relevance values based on each individual document element selected from: (i) an occurrence of the set of search terms in the summary of the document and (ii) an occurrence of the set of search terms in the text of the document; wherein the application is configured to independently calculate the first and second relevance values based on each individual document element selected from: (i) a further occurrence of term associations in the summary of the document and (ii) a further occurrence of term associations in the text of the document. 15. The computer-implemented method of claim 14 , wherein the application includes: a documents database configured to store the set of documents; a summary database configured to store the summary provided for each document in the set of documents; an association dictionary configured to associate pairs of words in general use and associate pairs of words in technical domain, including synonym types, hyponym and hypernym types, and meronym and holonym types; a structural parser configured to generate the summary for each document in the set of documents; a semantic parser configured to tags topic and body text in each document in the set of documents; and a topic aligner configured to arrange tags in the summary for each document, into a tag hierarchy.