Research On The Semantic Path Of National Festival Event Ontology

With the development of the tourism industry, the personalized tourism has made the tourism more diversified, and the festival tourism has become an important pillar of the third industry with a new form, which has promoted the development of local national culture. Guangxi Zhuang Autonomous Region has many ethnic minorities, ethnic festivals rich and colorful, with national costumes, dance, folk foil body, has attracted more and more tourists to experience, shaping the success of the the Guangxi Zhuang Autonomous Region tourism resort brand image.On the other hand, now the arrival of the era of big data, the network has become an important channel for people to obtain information, due to the traditional search engines often returns a large number of web pages and redundant information, does not meet the real needs of the user. With the development of semantic Web technology in the network, many semantic resources such as XML, ontology file and so on providing the basis for semantic search. The main research object of the semantic search for entity search, but in real life, sometimes we do not focus on the entity itself, but the semantic relations between entities. In fact, this kind of semantic relation is the focus of many researches, such as national security, social networks, hope through the research of semantic relevance to answer the problems of "object A and object B if there is a semantic association", so as to dig out the potential valuable semantic information between entities.In order to carry out the integration of Guangxi Ethnic Festival activities information, establish a rich and perfect national festival system, and allows users to have more convenient, comprehensive, systematic and thorough understanding of the traditional ethnic festivals. In this paper, we mainly study the national festival event semantic paths, the characteristics of Ethnic Festival activities firstly studied, and proposes an information extraction algorithm based on semantic sentence pattern matching, then construct the ontology of national festival event model and has carried on the expansion. In order to effectively analyze festival activities between the semantic relevance path, This paper storage and query national festival event ontology adopted the map database (neo4j). The semantic path between the festival activities is realized, and the query results are optimized. This method can effectively retrieve the semantic relations between the festival activities.The main contents of this paper are as follows:(1) Collection of the Guangxi Zhuang Autonomous Region national festival, extraction information factor of festival event, and proposed the information extraction algorithm based on semantic pattern matching. From the text to automatically extract the main festival element information such as festival name, venue, etc. and does particular analysis for the performance of the algorithm.(2) According to the information extracted from the festival elements, we analyzed the relationship between the concept of festival events. Based on the ontology visualization tool protege build a national festival event ontology model, and the information extracted from the festival is filled into the ontology model.(3) By analyzing the disadvantages of the relational database storage domain ontology, taking into account the structure of the semantic data in ontology, using the method of non relational database Neo4j. In the ontology, the class and instance are mapped to the nodes in Neo4j, properties are mapped to the edges between nodes and nodes, this lays the foundation for the research of semantic path.(4) according to the theory of graph theory, the semantic path is retrieved, and the semantic path is defined and classified. Because of the complex relationship between events, not all of the semantic path is concerned by users. Based on this, the paper puts forward a more effective method of sorting, which can satisfy the user's need of real information mining.