Design And Implement Of Internet Of Interactive Professional Home System With Semantic Search Recommendation Function

With the advent of the information age, education, information is also vigorously constructing. Information technology is urgent and important for the professional which is the carrier of college personnel training and the standpoint of improving the quality of the university teaching.The issue takes electronic information science and technology for example to descible the goals of professional information technologyr:taking the implementing of the teaching project as the foundation,taking the curriculum and teaching resources construction as the core,taking the proffessional home page as the carrier and tool.There are some problems in professional home page:resources in the professional fields are so varied, including structured and unstructured data,that there is no exchange between these data;many learning rules and mothods in the coueses are lack of summary,that students can’t take advantage of these knowlege. Professional home page should not be just a platform which just show resources but is lock of Interactivity, and it isn’t good for the completing and development of knowledge system in the proffessional home page.At the same time,different usrs in the proffessional home page have so different interests and concerns that need system offer personalized service.This article did research according to the problem encountered in the professional home building.Research points divided into the following three points the first,designing the knowledge-based semantic system,and on the basis,designing and implementing the construction scheme of semantic-based professional knowledge and implementing the searth recommendation system;the second,design a model of interactive learning,and its complying in the proffessional home page,completing the building of proffessional knowledge system;the third.basing on the above two points,designing and implementating interactive professional home system with semantic search recommentdation function.The first part,the study of search recommendation mechanism basing on knowledge-based semantic.We use semantc-based information integration theory and related technologies to establish a knowledge system model based on semantic information integration.By ontologe construction,including resource metadata ontology、professional resources content ontology and professional disciplines assisted ontology.Integrate within the professional resources, knowledge systems,as well as courses in learning the rules of induction experience, summary.Meanwhile, in the construction of the system on the basis of expertise in the design the semantic retrieval model realize the semantic search for the relationship between concepts of knowledge.The topic designed a reasonable inference rules to achieve the integration of resources in the professional home page,and can provide users with professional knowledge recommended.The second part,the study of professional interactive learning model.The main study of the topic is the interactive strategies in the interactive learning model and the apply in the professional homepage.The paper designed two strategies including passive and active interactive learning.Passive interactive learning is getting log,taking user’s homepage and professional learning;we have designed a set of user text input mode providing initiatively their understanding of professional knowledge learning in the active interactive learning. Thro ugh these two strategies system obtained user’s individual learning needs, record ing user’s learning objectives、learning track、learning completion information,and by analyzing the information improving the constrution of the professional knowledge and can provide more personalized recommendations,etc.Achieve a professional intetactive homepage.The third,design the professional homepage with semantic search recommendation function including system requirements analysis,system functional design,database design and page design in the early base of semantic information integration theory-building and interactive learning system.Fianlly achieve interactive professional home system with semantic search recommendation function using the spring framework of MVC model.