Word Semantic Similarity Based on Document´s Title

Measuring similarity between words using a search engine based on page counts alone is a challenging task. Search engines consider a document as a bag of words, ignoring the position of words in a document. In order to measure semantic similarity between two given words, this paper proposes a transformation function for web measures along with a new approach that exploits the document´s title attribute and uses page counts alone returned by Web search engines. Experimental results on benchmark datasets show that the proposed approach outperforms snippets alone methods, achieving a correlation coefficient up to 71%.