1. A computer-implemented method executed by a processing unit coupled to memory for determining an entity category for an entity, the entity comprising a subject of a web page, comprising: extracting a set of potential categories relating to an entity, wherein the set of potential categories is extracted from a first portion of a web page and the entity comprises a subject of the web page; extracting summary text relating to the entity from a second portion of the web page, wherein the first portion is disposed at a first region of the web page and the second portion is disposed at a second region of the webpage separate from the first region; comparing at least some of the set of potential categories to the summary text to determine a set of candidate categories for the entity, wherein the set of candidate categories is a subset of the set of potential categories, and wherein the comparing includes A) performing a morphological analysis upon one or more category words of a potential category of the set of potential categories to generate a set of variation category words of the potential category, and B) identifying a match between one or more variation category words of the set of variation category words and one or more summary words of the summary text; ranking a first candidate category of the set of candidate categories relative to a second candidate category of the set of candidate categories based upon one or more ranking features to generate a ranked set of candidate categories; determining an entity category for the entity from the ranked set of candidate categories, wherein the entity category has a first rank within the ranked set of candidate categories, wherein the first rank is above a threshold; and presenting the entity category having the first rank in a search result page.
1. A computer-implemented method executed by a processing unit coupled to memory for determining an entity category for an entity, the entity comprising a subject of a web page, comprising: extracting a set of potential categories relating to an entity, wherein the set of potential categories is extracted from a first portion of a web page and the entity comprises a subject of the web page; extracting summary text relating to the entity from a second portion of the web page, wherein the first portion is disposed at a first region of the web page and the second portion is disposed at a second region of the webpage separate from the first region; comparing at least some of the set of potential categories to the summary text to determine a set of candidate categories for the entity, wherein the set of candidate categories is a subset of the set of potential categories, and wherein the comparing includes A) performing a morphological analysis upon one or more category words of a potential category of the set of potential categories to generate a set of variation category words of the potential category, and B) identifying a match between one or more variation category words of the set of variation category words and one or more summary words of the summary text; ranking a first candidate category of the set of candidate categories relative to a second candidate category of the set of candidate categories based upon one or more ranking features to generate a ranked set of candidate categories; determining an entity category for the entity from the ranked set of candidate categories, wherein the entity category has a first rank within the ranked set of candidate categories, wherein the first rank is above a threshold; and presenting the entity category having the first rank in a search result page. 4. The computer-implemented method of claim 1 , wherein the web page comprises an encyclopedia type article about the entity.