A Novel Approach to Compute Semantic Relationship between Words

A web search engine returns many pages, when user searches information regarding a particular person. Some of these pages may be for other peoples with the same name. How can we disambiguate these peoples with the same name? This paper presents an unsupervised algorithm which produces unique phrases to disambiguate different people with the same name (i.e. namesakes). Our algorithm takes in a personal name and outputs multiple sets of phrases which uniquely identify the different namesakes on the web. These phrases could then be added to the query to narrow down the search to a specific namesake. We evaluated the algorithm on a collection of documents retrieved from the Web. Experimental results show a significant improvement over the existing methods proposed for this task. Index Terms—Web mining, information extraction, web text analysis.