Research On Technology Of Merging Heterogeneous Domain Ontologies And Resolving Inconsistent Rules On Grid

It is not to avoid problems of ontology heterogeneity and rules inconsistency inthe process of merging heterogeneous ontology-based knowledge bases. Mergingontologies and resolving inconsistent rules is the key technology to resolve theseproblems and the core technology to apply to collaboration of ontology-basedknowledge bases. In this paper, merging ontologies and resolving inconsistent rules isapplied to merge heterogeneous ontology-based knowledge bases for plantingsuitability evaluation domain which are different sources on grid. Research shows thatthis technology can make effective use of resolving problems of ontologyheterogeneity and rules inconsistency in the process of merging heterogeneousontology-based knowledge bases and increase sharing and reusing of domainontology-based knowledge bases. The research work and achievement mainly coverthe following aspects:Firstly, starting with researching the theories of ontology and ontology-basedknowledge base，the paper analyzes the necessity of existing problems of ontologyheterogeneity and rules inconsistency in the process of merging heterogeneousontology-based knowledge bases and proposes that technology of merging ontologiesand resolving inconsistent rules is the important method of management, maintenanceand integration of ontology-based knowledge bases on grid.Secondly, based on the analysis of existed approaches of ontology merging andcomparing their advantages and disadvantages, the paper selects Prompt which is aplug-in of ontology merging and mapping, researchs theory of Prompt and analyzesthe technology of Prompt. The paper researches mainly the main idea and the specificsteps of iPrompt which is one of ontology merging. Relying on GeoKS-Grid, thegeographical knowledge system developed by research groups, the grid service forontology merging was carried out by developing and implement of the functions forontology parsing, ontology mapping, judging, manipulating and merging of ontology.Thirdly, the paper analyzes the reason that may contribute to inconsistent rules,and puts them into different categories according to their unique characteristics.Targeting to solve inconsistent rules within different types, the paper certain approaches of checking and resolving inconsistencies. On the basis, the grid servicefor resolving inconsistent rules was carried out by developing and implement of thefunctions for rules meging, rule parsing, inconsistent rules checking, manipulating andinconsistent rules resolving.Finally, the domain ontology and evaluation rules, which are extracted from thesubtropical fruit trees planting suitability evaluation results of Dong Zhen Reservoirwatershed, was later used for the construction of new ontology-based knowledge base.Then, the new ontology-based knowledge base combined with existed tropical fruitplanting adaptability evaluation ontology-based knowledge base within geographicalKnowledge System Grid (GeoKS-Grid) forms an ontology-based knowledge baseswith different sources while within the same (or overlapped, or interrelated) fieldtogether. The two domain ontology-based knowledge bases have been placed ondifferent grid nodes, providing grid service for the accesst to domain ontology andrules. The Demo application of the research is to call grid service of megingontologies and resolving inconsistent rules to merge the ontology-based knowledgebases with different sources. The merged ontology-based knowledge bases can notonly meet the requirements of regional planting suitability evaluation in large scale,but also improves the effectiveness of reasoning for precise evaluation in small scale.