Study On The Index System Construction Of Flood Disaster Risk Monitoring In Ancient Sites

"Specification for conservation planning of large-scale archaeological site " defines ancient sites as generally including the remains of important sites from different periods of development in the history of our civilization and culture.With the characteristics of nonrenewable and irreplaceable resources,they belong to the national significant historical and cultural resources.There are currently 5,058 state-protected units in China,of which a total of24.7% are ancient sites,which are important carriers of the splendid culture of the Chinese nation,but are quite fragile before major natural disasters such as floods,and the losses incurred when facing the threat of flooding are immeasurable.Flood risk monitoring of ancient sites is therefore of great significance.At present,although there have been many studies on the monitoring needs of ancient site flood disaster risk,a unified risk monitoring system has not been formed,and it is difficult to express the correlation of monitoring indicators.There are some problems such as unclear definition of monitoring indicators,unclear level,and poor correlation.As a semantic network that can intuitively reflect the relationship between knowledge entities,knowledge graph has attracted much attention,which provides a new idea for expressing the monitoring index system.In order to build a more unified and comprehensive flood risk monitoring indicator system for ancient sites,this paper,after various preliminary investigations,data collection and expert opinions,we firstly propose a knowledge mapping ontology construction method based on knowledge mapping ontology related technology for flood risk of ancient sites,defining its schema layer,attributes and relationships and storing entity data layer,and completing the knowledge graph for flood disaster risk monitoring in ancient sites through OWL(Web Ontology Language).The knowledge graph ontology can initially represent the relationships between entities in a visual form and include entity attribute information,and provide query and editing functions.Secondly,in view of the problems existing in the existing monitoring index system,the index system structure of ancient site flood disaster risk monitoring is defined.The structure consists of two parts: core attribute layer and associated attribute layer.Compared with the previous monitoring index system,this structure can include all the concepts related to monitoring around the monitoring index,and form a multi-angle and multi-level collection of monitoring indicators and related knowledge,which can provide various information around a single monitoring index,no longer limited to a single index value.And semantic reasoning technology was used to realize the restructuring of knowledge graph structure and the extraction of monitoring index system.Based on the domain knowledge graph ontology of ancient site flood monitoring index,inference rules in the form of SWRL(Semantic Web Rule Language)were written according to the structural characteristics of monitoring index body.Based on Hermit reasoner,the hidden attributes and relationships in the knowledge graph ontology are mined,and the process of extracting the monitoring index body from the knowledge graph ontology with only simple relationships is completed.Finally,the constructed knowledge mapping ontology for flood hazard monitoring at ancient sites is used as the main data source to design a knowledge mapping system for flood hazard monitoring at ancient sites based on the Neo4 j graph database.The above theory and system are applied to the monitoring and system design of Xiwengcheng of Pujindu site.The results show that the knowledge graph has the advantages of visualization and clear structure,which can intuitively represent the relationship between entities,and can be well applied to the monitoring field of ancient sites dealing with flood disaster risk,and the rule-based semantic reasoning can extract the small structure of monitoring index body from the relatively messy knowledge graph ontology.And the extracted monitoring index body can accurately provide various information related to field monitoring according to monitoring needs,which can provide scientific reference for ancient sites to deal with flood disasters and monitoring and protection.The knowledge graph system meets the needs of users to store,view and edit information about examples of ancient sites and the knowledge graph ontology.