Full text retrieval system based on natural language

Abstract

The invention discloses a full text retrieval system based on natural language understanding, comprising: a database server, an information receiving judging module, a natural language processing module, a retrieving module, an indexing module, an index database and a result set processing module. The system of the invention provides two resolution strategies, that is, word classification static with semantic analysis associated with automatic segmentation and expanding inquired word static according to Hownet rule for low intelligence situation of current search engine. The deployed system converts information retrieval from current key word-based layer to knowledge (or concept)-based layer; the invention is capable of using techniques such as word classification, synonym, concept search, phrase identification, etc. with understanding and processing ability to knowledge. The search engine is provided with intelligence and humanization of information service. The user is allowed using natural language for information retrieval. The invention is capable of adding user selection behavior in interactive operation mode, so as to provide more convenient, more precise search service.

Description

technical field [0001] The invention belongs to computer retrieval technology, and specifically relates to a search engine system based on natural language. The system is an improvement to Internet search engines, and can perform semantic analysis and concept expansion on query content submitted by users. Through human-computer interaction, users can Accurate, rich, clear and unambiguous query results can be obtained. Background technique [0002] With the development and maturity of the Internet and related technologies, people have entered an era of extremely rich information. However, its inherent large capacity, heterogeneity, distribution, and dynamics, as well as a large amount of invalid data lacking organization in the Web, reduce people's utilization efficiency of rich information resources, and "information overload" and "information obsession" appear. Phenomenon. So the search engine came into being, which refers to a kind of information retrieval system for ind...

AI Technical Summary

Problems solved by technology

The internal information load of words is too small, and using it as the only entry for information retrieval will inevitably bring about problems including returning too much information or losing information.

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