文章基本信息

标题：AN SQL EXTENSION FOR LATENT SEMANTIC ANALYSIS
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作者：CRISTIAN BISCONTI, ANGELO CORALLO, HOSSAM FARIS, SALVATORE TOTARO
期刊名称：Advances in Information Mining
印刷版ISSN：0975-3265
电子版ISSN：0975-9093
出版年度：2011
期号：517
页码：19-25
出版社：Bioinfo Publications
摘要：Latent Semantic Analysis (LSA) is a powerful statistical theory and method for indexing, retrieving and analyzing textual information. With the increased demand for more efficient databases and computing power, a lot of research and work has focused on the practical side of the LSA. In this paper we introduce a design and implementation of an SQL extension for LSA applications. The developed SQL extension for LSA is aimed to utilized as an easy and simple interface for basic LSA and cosine similarity functions provided for indexing, searching and retrieving large textual information stored in open source relational database management system like PostgresSQL.