Automated Entity Alias Evocation from Web
Snehal S. Shinde1, P. R. Devale2
1Snehal S. Shinde, Department of Computer Engineering, Bharati Vidyapeeth’s Deemed University College of Engineering, Pune (Maharashtra), India.
2P. R. Devale, Department of Information Technology, Bharati Vidyapeeth’s Deemed University College of Engineering, Pune (Maharashtra), India.
Manuscript received on 18 November 2012 | Revised Manuscript received on 25 November 2012 | Manuscript published on 30 November 2012 | PP: 29-30 | Volume-1 Issue-5, November 2012 | Retrieval Number: E0360101512/2012©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Identifying the correct reference to an entity among a list of references is required in lots of works such as information retrieval, sentiment analysis, person name disambiguation as well as in biomedical fields. More previous work had been done on solving lexical ambiguity here we proposed a method that is based on referential ambiguity. In this paper we proposed a method which is based on referential ambiguity to extract correct alias for a given name. Given a person name and/or with context data such as location, organization retrieves top K snippets and depth up to level two from a web search engine. With the help of Lexical pattern extract candidate aliases. As to find correct alias from a list of aliases we used n-depth crowling method. This method is useful to improve the precision and minimize the recall than the previous baseline method.
Keywords: Web mining, Qeb Text Analysis, Text Mining, N-depth Crawling.
Scope of the Article: Web mining