Research On Plant Phenotypic Information System With Spatio-Temporal Ontologies

The development of the field of plant phenotypes has brought about a large number of data sets,which not only contain the relevant information of plant phenotypes,but also include the relationship between spatio-temporal conditions when recording these phenotypic data.These spatio-temporal information is closely related to plant phenotype,and is a necessary factor to be considered when analyzing plant phenotype data.However,these spatio-temporal information are often not effectively managed in the existing system,which brings great difficulties for the subsequent processing of phenotypic data.Based on semantic technology,this thesis makes full use of the advantages of ontology in knowledge representation and reasoning.By integrating spatio-temporal ontology and plant phenotypic domain ontology,plant phenotypic information and spatio-temporal information are effectively combined and well managed in the system.The specific research work and achievements of this paper are as follows:Firstly,this thesis uses binary semantic similarity algorithm for ontology fusion.In this thesis,the entities in ontology are calculated by binary semantic similarity algorithm to realize the integration of spatio-temporal ontology in plant phenotype domain ontology and construct spatio-temporal experimental event ontology.For phenotype domain ontology which is not suitable for merging,OWL and SWRL rules are used to express the complex relationship of the calculated conceptual entities to achieve fusion.The experiments show that the fusion method used in this thesis expands the relationship between phenotype and spatio-temporal ontologies,and effectively combines spatio-temporal information and phenotypic information.Secondly,this thesis combines ontology and ontology rules for joint reasoning.Based on phenotype domain knowledge,this thesis constructs a custom ontology rule base to represent the relationship between space,time and phenotype.Then we analyzes the fused ontology file and custom rule,and uses inference engine for reasoning.Through comparative experiments,the reasoning of time,space and plant phenotypic data set can expand the knowledge base of the existing system,and make the implicit knowledge of phenotypic experimental data be used by the system.Finally,this thesis designs and implements the spatio-temporal plant phenotype information system,and describes the main modules of the system.This thesis takes plant height screening as an example,comparing and analyzing the screening results of plants with "plant height greater than 500mm" by spatio-temporal plant phenotypic information system and non-spatio-temporal phenotypic system.By analyzing the results,we can find that spatio-temporal plant phenotypic information system can obtain more comprehensive retrieval results and provide a powerful tool for researchers.