Research On Feature Extraction And Village Portrait Based On Ancient Village Ontology

The ancient villages are the carrier of Chinese traditional culture and history.They are the non-renewable cultural resources for the whole Chinese nation.In recent years,the ancient villages' protection is increasingly focused by the whole society.The texts,videos,images as well as other information resources about Chinese ancient villages are booming,which inversely become the valuable digital researching resources for the ancient villages themselves.Starting from ontology ancient villages,based on the existing literature related to ancient villages in ancient villages of the network information and the actual field survey results,this paper constructed an ontology ancient village from the concept of ontology and the relationship between concepts and axioms of three aspects.The concept of ontology was developed from field survey and strengthened by network resources.The relationship between concepts is based on the structure tree of the ontology and the ancient village survey where the network of concepts was developed initially.The concept and relation of ancient village ontology was constrained by the relationship between axioms which resulted the ancient village ontology being different from other ontologies.Then,a feature weighted algorithm based on ontology ancient villages was proposed by using an established ontology ancient village.After using the relation between the algorithm and words in the ontology to adjust the original key characteristic value,a new characteristic value based on ontology would be formed.Therefore,the correlation degree of ontology can be calculated from the new characteristic value.The correlation degree based on ontology is used to measure the relation of words in ancient village ontology.Meanwhile,the concept of a village portrait was proposed in this paper,which is generated from the improved eigenvalue and reflects the key points of the ancient village texts and the relationship between words.Finally,Xiaozhou village as an example,the village portrait was generated from the correlation degree which was conducted by the method proposed in this paper.In this paper,the ontology was established for ancient villages,the improved algorithm based on feature extraction of ontology in the ancient villages,which was added the ontology knowledge,makes relationship between words closer.It not only reduces the dimension of key words,but also accelerates the speed of feature extraction.It even shows the special and low frequency words.Besides,this method,combining the repeated features,highlights the important features and makes the original features more prominent and aggregated,which give people a more intuitive view of the important characteristics of ancient villages.