Semantic Retrieval of Text Documents

Nowadays, the Internet is the major source of information for millions of people. There are many search tools available on the net but finding appropriate text information is still difficult. The retrieval efficiency of the presently used systems cannot be significantly improved: "bag of words" interpretation causes loosing semantics of texts. We applied the functional approach to present English text documents in the memory of computers. It allowed to keep semantic relations between words when indexing documents and use ordinary English sentences as queries to submit to a search engine. The proposed retrieval algorithm returns highly relevant documents. The presented example illustrates the advantage of the discussed approach compared to the traditional key word search.