Synonyms Recognition And Application Research In Concept-based Information Retrieval System

Along with the quick development of the Internet, the information on the Internet increases quickly everyday. How to obtain the information that customers want from this enormous resources databases, is an important problem for all users. The search engines are the most valid means at present. The intellectualized information retrieval has become a major research topic because the traditional information retrieval can not meet the requirements of users. Therefore, the concept-based retrieval is becoming one of the most important ways of intellectualized information retrieval.Firstly, this thesis summarizes the correlation research of Chinese search engine, based on this introduction, this thesis analyses the intellectualized information retrieval ,namely,the characteristic of concept-based retrieval system. We use the synonyms dictionary as the semantic system to realize synonyms expanding retrieval. Secondly we make a deep research of the algorithms of synonyms recognition. Using recognition synonym based on semantic system can make computer system recognition synonyms automatically. At the same time, we can realize concept association retrieval with it.Keyword retrieval is the most popular method in search engine retrieval, but most search engines do not control vocabulary in information retrieval. This makes the retrieval efficiency not competent. The resolution of this problem is to use"concept retrieval"instead of"word-form retrieval". This thesis analyses the existing concept-based retrieval systems, based on this introduction, and puts forward a concept retrieval system based on synonyms recognition.Automatic recognition of synonyms plays an important role in concept-based information retrieval. Based on the analyses of the synonyms recognition, we use the similarity degree among the words to recognize synonyms, and mining a lot of multiple synonyms. Experiment has proved that this algorithm has well efficiency of recognition. The synonyms can be used to expand synonyms dictionary. It can improve the efficiency of the retrieval. Finally, this thesis provides concept association based on the algorithm of synonyms recognition.