Semantic Analysis Technology And Implementation Of Tourism Information Retrieval

With the rapid popularization of the Internet and innovation of the Internet model, more travelers search tourist information via the Internet, but in some travel regions, the level of information degree is not high, although the search engine had indexed a lot of pages, but it is mainly based on keyword match pattern can not accurately understand user intent, existing the situation that the search results do not match the answer which users want,what is more, existing the situation that irrelevant answers is present, which need to rearrange travel information, organization, specifications and formed a relatively complete knowledge system.Tourist information retrieval involves the user understanding,semantic analyzing and query reasoning.This paper based on the theory of ontology, semantic analysis technology, the main job is focus word recognition, semantic mapping, query rules, improving the degree of semantic understanding about user questions. Using semantic analysis technology to analysis user's asking and understand user intent and then to form a semantic understanding,though semantic mapping to find the answers and returned it to the user. Today's focus word extraction technical accuracy is low, and didn't clear about the user's question intent, making it impossible to give definitive answers. In this paper,using semantic analysis and retrieval technology into Guilin tourism information to verify the effectiveness and practicality of the proposed method.This paper's research work is mainly reflected in the following aspects:(1)Towards user's question understanding problem,a improved algorithm is proposed to extract user question's focus word. The algorithm has been improved in correcting the interrogative,achieving recognition under the case of interrogative as the focus, and can determine the type of question. It reached purpose of understanding the user's intent.(2)Propose a question sentence semantic analysis algorithm based on dependency and according to the question classification, searching the answer through template query alogorithm. Based on dependency relationship algorithm can recognize question sentence's semantic relationship between the various components of the sentence and restrictions.This algorithm can understand user intent better.According to the results of the semantic analysis algorithms calculated to question templates for different categories of conduct the results of the query, ensure the accuracy and validity of the results.(3)Propose a mapping algorithm which is Key words to ontology, take the words which is cut up and the word which is parsed mapped into to the ontology knowledge base. Providing evidence for the inquiries and reasoning in the ontology Knowledge Base.(4)Add a group of rule which programmer is defined to enhance the reasoning ablility of the system. Usually just declare the logical expression in the ontology. And declare some axioms and common properties, can not be completely including people sense inferring knowledge. In order to solve this problem, add defined rules to enhance the representation and reasoning ability of the system.