A Study On Automatic Import Method Based Cultural Material Database

As the core of cultural and creative industries,cultural material information is the key inspiration around the Chinese native culture of industrial design and creative design,so the material information extraction,analysis and storage has a very important meaning and value.However,the five thousand years of history of China made it very difficult because of the complexity of Chinese language and the huge number of kinds of cultural relics.In the actual cultural material storage process,it's very likely failed because of the lack of staff and key information.Therefore,it's extremely necessary to design a auxiliary input solution based on Chinese natural language processing,database retrieval and other related techniques,along with developing a automatic tool.This paper mainly contribute on the following:First,we gave a brief introduction on the background and meaning of cultural material database and analysed the current situation of cultural knowledge interpretation.We also summarized the existing research results on Chinese word segmentation,database retrieval and Chinese short text classification.The main content is to introduce the Chinese dictionary-based word segmentation method,and proposed a method to build domainspecific cultural dictionaries.By introducing the cultural domain specific dictionaries,the result has been greatly improved than before.As for the lack of critical information,we proposed a method by referencing the cultural material database.By building a hash table of keywords along with relational database based keywords search methods,we maximize the usability of the original cultural material database.Also,we solved the interpretation difficulties by using the Chinese short text classification method.Based on the above,we implemented a cultural material based automatic entry tool.It has a simple and beautiful interface,easy to operate and support internal retrieval and import for cultural material.This tool has maximally reduced the building cycle of database and improved the efficiency of staff.