1. A computer-implemented method for linking documents with multiple topics to related documents, implemented using a client/server network architecture, comprising: in advance of a user search request, searching in a seed source to identify seed documents having at least one discrete seed topic but lacking target document links, using the client/server network architecture, each seed document belonging to one of a plurality of collections of seed documents, each collection having a target source map defining a list of target sources to search to generate target document links for seed documents belonging in the collection, wherein the at least one seed topic corresponds to a topical classification assigned from a taxonomy for a specific subject area, and wherein the at least one seed topic is pre-defined in advance of a user search request; retrieving and formatting the identified seed documents, in advance of a user search request, using the client/server network architecture; extracting the at least one seed topic for each retrieved seed document, in advance of a user search request, using the client/server network architecture; for each retrieved seed document, retrieving the list of the target sources found in the target source map for the collection to which the seed document belongs, in advance of a user search request, using the client/server network architecture; and for each seed topic within each retrieved seed document, processing each target source within the list of target sources defined by the target source map for the collection to which the retrieved seed document belongs, to pre-establish a target document link for the seed topic using a natural language search constructed from the seed topic, in advance of a user search request, using the client/server network architecture.
1. A computer-implemented method for linking documents with multiple topics to related documents, implemented using a client/server network architecture, comprising: in advance of a user search request, searching in a seed source to identify seed documents having at least one discrete seed topic but lacking target document links, using the client/server network architecture, each seed document belonging to one of a plurality of collections of seed documents, each collection having a target source map defining a list of target sources to search to generate target document links for seed documents belonging in the collection, wherein the at least one seed topic corresponds to a topical classification assigned from a taxonomy for a specific subject area, and wherein the at least one seed topic is pre-defined in advance of a user search request; retrieving and formatting the identified seed documents, in advance of a user search request, using the client/server network architecture; extracting the at least one seed topic for each retrieved seed document, in advance of a user search request, using the client/server network architecture; for each retrieved seed document, retrieving the list of the target sources found in the target source map for the collection to which the seed document belongs, in advance of a user search request, using the client/server network architecture; and for each seed topic within each retrieved seed document, processing each target source within the list of target sources defined by the target source map for the collection to which the retrieved seed document belongs, to pre-establish a target document link for the seed topic using a natural language search constructed from the seed topic, in advance of a user search request, using the client/server network architecture. 15. The method of claim 1 , further comprising the steps of: creating a list of landmark documents; storing in a table the landmark documents, data representing the names of the landmark documents, the primary citations for the landmark documents, and the frequency with which each of the landmark documents is cited by other documents; and creating a file containing the data in a format optimized for on-line retrieval.