Study On Knowledge Acquisition Of Customer Demand For The Car Manufacturers In Web2.0

In order to quickly capture the market share by meeting customers’ demand andsupplying them with high-quality, mature automotive products at fastest speed andlowest cost, thus obtaining an advantageous position in competition, carmanufacturers have to concern more about customer demand when designing vehicles.Currently, internet has become the biggest information platform all around the world.Among the huge amount of web information, there are many contents with highpotential value, which include information about implicit customer demand in carmanufacturing industry. How to dig valuable customer demand information, andregulate the expression and storage of contents, can not only greatly shorten thedevelopment time, but also significantly affect car manufacturers who have customersatisfaction as one standard.Addressing the above questions, this thesis studied how to obtain customerdemand knowledge in car manufacturing industry, combining the ideas of ontologyand the principles of Web text mining and knowledge acquisition. This thesis worksmainly around the following three aspects:（1）As customer demand has significant meaning to car manufacturers, thisthesis raised knowledge acquisition architecture based on market segments, and on thebasis of the architecture, this article set the overall functional model, which realize thedemand-driven manufacturing philosophy.（2）According to the customer demand information under the networkenvironment, the characteristics of the research based on customer demand ontologyknowledge base products feature extraction, and put forward the products featureextraction model. Based on the matching of the patterns of the syntax analysis andbased on the characteristics of structural processing handling, realize the unstructuredcustomer demand structural processing.（3）Under customer-oriented market environment, study is based on keytechnologies of Ex-ante analysis and Ex-post analysis in acquiring customer demandknowledge. Ex-post segmentation model has been raised, based on PCA, and the goalof identifying customer group, and acquiring customer demand knowledge in thismarket. To test the technology and the effectiveness of the proposed method, a simplecustomer demand knowledge acquisition system is designed, with the carmanufacturing industry as the research background. Most functions of this system arefulfilled, which verified the related methods and theory research the effectiveness ofthe result by this thesis.