4. A method for determining a semantic relationship between two search engine queries, comprising the steps of: (a) receiving a first search engine query; (b) identifying a second search engine query stored in memory; (c) obtaining a query density function for each of the first and second search engine queries by resolving the first query into a first bit string and by resolving the second query into a second bit string, wherein the query density function for the first and second search engine queries is based on the frequency of each of the search engine queries in comparison to the combined number of search engine queries during a plurality of time periods; (d) identifying a semantic correlation between the two search engine queries based on a degree to which corresponding bits in the first bit string and the second bit string match each other; (e) modifying the second search engine query to include a linking association in memory with the first search engine query in the event it is determined that the semantic correlation identified in said step (d) is above a threshold level; and (f) displaying results associated with the second search engine query to the user in the event it is determined that the semantic correlation identified in said step (d) is above a threshold level.
4. A method for determining a semantic relationship between two search engine queries, comprising the steps of: (a) receiving a first search engine query; (b) identifying a second search engine query stored in memory; (c) obtaining a query density function for each of the first and second search engine queries by resolving the first query into a first bit string and by resolving the second query into a second bit string, wherein the query density function for the first and second search engine queries is based on the frequency of each of the search engine queries in comparison to the combined number of search engine queries during a plurality of time periods; (d) identifying a semantic correlation between the two search engine queries based on a degree to which corresponding bits in the first bit string and the second bit string match each other; (e) modifying the second search engine query to include a linking association in memory with the first search engine query in the event it is determined that the semantic correlation identified in said step (d) is above a threshold level; and (f) displaying results associated with the second search engine query to the user in the event it is determined that the semantic correlation identified in said step (d) is above a threshold level. 7. The method for determining a semantic relationship between two search engine queries as recited in claim 4 , where said step (c) obtaining a query density function for each of the first and second queries by resolving the first and second queries into a bit string comprises the steps of generating a plurality of hyperplanes, and generating a bit in the bit string for a first of the two search engine queries, the bit determined by a dot product of a first vector orthogonal to one of the hyperplanes and a second vector representing the first search engine query.