Making taxonomies is the process of organizing text segments into subsections so a person can query it. This is done using vector space models that are an algebraic method where each dimension corresponds to a separate term. Several different ways of weighting this data can be done. Often an indexing method is incremental for dimensional reduction. Sematic spaces represent word meaning and encode the meaning of a set of words such as example, run, runs, ran and running are forms of the same lexeme, with run as the lemma.