Measuring semantic similarity using web search engine

An automatic method to measure semantic similarity between entities using web search engine which uses both page count and lexical patterns extracted from snippets. Semantic similarity is measured using both page count and lexical patterns based on snippets from web search engine for given query words. By using page count value, four word co-occurrence measures are calculated. Lexical patterns describing semantic relations are extracted from snippets returned by search engine. These patterns are then clustered using sequential algorithm. Word co-occurrence measures are combined with lexical patterns which is learned using SVM.