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Research And Application On Forest Resource Management Decision-making Ontologe Knowledge Base Technologies

Posted on:2010-11-09Degree:DoctorType:Dissertation
Country:ChinaCandidate:T B LiFull Text:PDF
GTID:1103360275985026Subject:Forest management
Abstract/Summary:PDF Full Text Request
Concepts of forest management are changed in recent years,technologies of computerscience and applications of artificial intelligence are developed rapidly,ontology-based forestresource management decision-making knowledge base (OFRMDKB abbr.)is a integrationsystem behind them.Forest resource management have the characters of long yield period,more disturbs,large region,much variation,complex environment.Data proceeding,knowledge auto-acquired,knowledge representation and prediction for decision-making arethe goal of research of OFRMDKB technologies,and then supply sustainable management offorest resource with intellective basics.The technologies of knowledge base are the main clueof this essay,and the connection between ontology knowledge base and the real naturesystem is the target of OFRMDKB.Methods of ontology-based knowledge managementframe,semantic language coding and establish models are applied in studying thecomponents and technologies of OFRMDKB.We also discussing knowledge acquired,representation,reasoning in the OFRMDKB with the technologies and methods of ontologylearning,constraint axioms of OWL (Web Ontology Language)and case-based reasoning.Technologies were applyed on throughout of forest resource management and decision-making.The hiberarchy of forest resouce management and decision-making (FRMD abbr.)data,information and knowledge,and the structure of FRMDKB are discussed in this essay.It isthe first time that study technologies of FRMDKB with the ontology concept.The maincostructure of OFRMDKB,include classes,properties,axioms and individuals,wereestablished.Knowledge were organised by the mode of ontology in oppening OFRMDKB.For the first time method of ontology learning that acquired core ontology from forestrecource data structure was proposed.We defined the core ontology of forest resource,andapplied the method to the forest resource data structure.Based on the analysis of characterand compose of web ontology language,prot(?)g(?)ontology editor and restriction axiom,diameter structure and quantitative maturity rules which are needed for the application ofopenning OFRMDKB represented by OWL restriction axiom.Construct symbols were usedin representing of geo-climate conditions of forest.We discussed the description logicreasoning in the tools of prot(?)g(?),and applied on the class hiberarchy of forest resource about forest covered land and broadleaved forest covered land.Characters of model baseedreasoning,case based reasoning and application of FRMDKB were analyzed in this essay,forthe first time we proposed the integration reasoning based on the forest management resourceand decision-making knowledge,and the appcation method of integration reasoning.It is main question that application of knowledge base within forest resourcemanagement and decision-making,due to the great component and long-range establishmentof FRMDKB.We created classes,properties,axiom and individuls of opening OFRMDKBwith protege,established diameter structure model of Chinese fir plantation in different age,acquired patameter of thinning and index of forest maturity estimateion,processed theintegrate reasoning with the new individuals of Chinese fir plantation,and analyzed the resultof reasoning.It is an attemption of research and application on forest resource management anddecision-making knowledge base with ontology concept,and is a new method of discussingproblems of intelligent in forest domain.There are signification of ontology amongestablishing FRMDKB,expert system and decision-making support system.It is thebeginning of research on OFRMDKB.There are further studies about ontology in the future.
Keywords/Search Tags:Forest Resource Management, Decision-making, Knowledge Base, Ontology Editor, Reasoning
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