期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2012
卷号：9
期号：3
出版社：IJCSI Press
摘要：In search engine query optimization plays the major role in order to give relevant result. The user query mostly contains name entities. Not only names but so many words are frequently used as search criteria for information retrieval and identity matching systems in Odia. The names have normally several variations. This variations and errors in names make the exact string matching problematic. If all the variations are approximately matched, then the result can be more relevant. In this paper we put forward an automatic approximate matching technique by which all the variations having similar phonetic code of the query word can be searched and gives the best result. Our algorithm is based on the phonetic encoding of the given query words which can give more relevant result of the desired search.
关键词：Soundex; Query Optimization; Information extraction; search Engine; Index
