Research And Implementation Of Intra-site Search Engine Module Based On Semantic Web

The age of the Internet,information showing explosive growth and diffusion,every day we receive all kinds of information in production and mass,for users,want to obtain information accurate,quick and convenient,has become increasingly difficult;and for the Internet service company is how to innovate technology,improve customer service level to enhance customer satisfaction,enhance user stickiness measures.Therefore,the intelligent,situational and socialized semantic search technology has become the research goal of many Internet Co and scholars.For the semantic web search engine will enrich the semantic information of the semantic web by fully using as a starting point,through the analysis of semantic document annotation and ontology knowledge representation enables the user for a special precise search possible,research on the key technology for the semantic web search engine has important significance to promote the further development of the Internet technology and the popularity of the semantic web.ESGCC is an Internet e-commerce platform built by SGCC,for online payment,online services,electricity supplier procurement as the focal point,create a set of utilities payment,the development of industry,sales of electric vehicles,one-stop service,distributed power supply,clean energy alternatives,innovative financial services such as online and offline services for the integration of e-commerce and financial trading platform.Many customer service applications,search engines undoubtedly need to play an important supporting role for users to provide direct access to the target information channel.From the system's on-line situation,the search is also a system function that users have the highest frequency,the most widely used data,and the most feedback.But in the search process experience,system response speed,the accuracy of the search results,and other aspects,need to be improved and improved.In this thesis,an in-depth study of the semantic web and the cutting-edge technology,according to the analysis of natural language processing,machine learning technology,semantic segmentation technology analysis,from the above point of view,put forward a new information search mode works based on intelligent semantic web search engine module.Combined with the theoretical model,based on ESGCC project,this article from the perspective of solving practical problems,the analysis of the current search engine in ESGCC drawbacks exist,search engine modification on the mall in detail,the search engine package is an independent module,WebService interface,search function by invoking the service search function.Through the transformation,ESGCC search function basically realizes the overall goal of the rationalization of the front-end experience,the intelligent system function and the simplification of the data application.For users,the accuracy of optimization search can improve the user search,users want to quickly find the goods,avoid excessive operation,enhance the experience;for operations,search system of great value,can understand the intentions of the user,optimizing the structure of the site,improve the site's user experience.