Storage And Query Methods For Probabilistic Resource Space Models

Resource space model is a semantic resource management model for Internet resources,which organizes and manages resources based on the categorical semantics of Internet resources.The probabilistic resource space model is a further extension of the resource space model for classifying uncertain resources.Its main purpose is to realize the management of uncertain resources existing in the Internet.In order to realize the management of uncertain resources in the Internet,it is necessary to study how to use the probabilistic resource space for purpose of managing uncertain resources,storing uncertain resources,so that users can find the required resources from the probabilistic resource space.Therefore,it is meaningful to study the storage and query of the probabilistic resource space model.Based on the actual situation of probabilistic resource space model,the storage mechanism and query method of probabilistic resource space model are deeply studied in this thesis.The main contents of this thesis include:1.The relevant theories of the resource space model,the probabilistic resource space model and the main characteristics of the model are studied deeply.According to the unique characteristics of the probabilistic resource space model,the probabilistic resource space is defined.Analyzing the tree structure of probability resource space is analyzed,introducing XML files with the same tree structure,so that the uncertain resources can be effectively saved in the probability resource space.Resource operation language is defined,so that the operation of create,alter,delete,insert and update the probabilistic resource space can be done.2.The resource query language and resource query algebra of probabilistic resource space model are studied.This thesis describes the basic functions of the resource query language,and it can support multiple probabilistic resource space operation queries.The syntax expressions of resource query language,resource query algebra and resource query calculus are defined,and the steps to optimize query are provided.3.The prototype system of probabilistic resource space model is studied,which is the theoretical basis used to realize the process of probabilistic resource space model storage and query.The system is divided into three parts: client end,operator end and probabilistic resource space server.The client is responsible for the operation and the query input.Probability resource space server is responsible for the storge of XML files.Operation side is responsible for parsing statement inputted.Operate on the files in the probabilistic resource space server according to the statement.This thesis studies the method of calculating the membership degree probability of uncertain resources.This thesis also combines GitHub platform with probabilistic resource space model,constructs a GitHub probabilistic resource space,organizes and manages the resources in the GitHub platform through the probabilistic resource-space model,which is beneficial to the classification of GitHub resources.