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A Study of Information Retrieval by Lovins Stemmer and Pattern Matching Approach

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dc.contributor.author Zaw, Wai Yan Lin
dc.contributor.author Myo, Khin Mar
dc.date.accessioned 2019-08-06T07:16:52Z
dc.date.available 2019-08-06T07:16:52Z
dc.date.issued 2009-12-30
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/1874
dc.description.abstract Nowadays, the World Wide Web technology is developed and it is a very large, distributed digital information collection and information contents in web is implemented by the different format such as HTML, XML etc. The role of information retrieval over the Web is important because web search users can make the best decision into their society if they get precise information from the Web. But as a result of huge amount of information over the Web and its growth rate, it is difficult for web search user to extract useful information. Field of information retrieval (IR) is born and several IR systems are used on everyday by a wide variety of users. This paper takes the advantages of IR and Brute Force pattern matching algorithm in the development of Web Document Retrieval System. This paper firstly describes how to pass the text preprocessing steps for web documents. Secondly, indexing technique for this system is described. Finally, how to match the query terms and document terms is described. en_US
dc.language.iso en en_US
dc.publisher Fourth Local Conference on Parallel and Soft Computing en_US
dc.title A Study of Information Retrieval by Lovins Stemmer and Pattern Matching Approach en_US
dc.type Article en_US


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