Most common search engines have serious problems returning all the documents which are important to a given user query because they can not disambiguate ambiguous terms or find documents which only include synonyms of the query terms. A promising approach to overcome these shortcomings gives Latent Semantic Indexing (LSI). This indexing scheme uses Singular Value Decomposition (SVD) to reveal the underlying latent semantic structure of documents. The implementation described in this book is a local search engine called Bosse for Wikipedia articles. Four different search types were implemented...