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Research On Dataspace Model Of Oilfield Development Based On Epicentre

Posted on:2019-03-27Degree:MasterType:Thesis
Country:ChinaCandidate:F LiuFull Text:PDF
GTID:2381330545475381Subject:Computer Science and Technology
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Data integration and sharing is the important foundation of information construction and the only way for enterprises in various fields to implement information exchange.Nowadays,many kinds of information systems have been established by various fields to meet the needs of their respective departments and specialties.However,these information systems are heterogeneous in grammar,structure,distribution and semantics,thus forming a variety of "information islands".How to implement the interconnectivity of these information islands at the semantic level is an urgent problem to be solved.Dataspace provides the collection of data and its relationship that have relation with principal.It breaks the problem of heterogeneity of professional and departmental data resources and implements the interconnection of data resources.It is a hot research topic at present.According to the background of data resource domain,the research of data integration and sharing is usually carried out in one domain.Based on the background of oilfield development field,this thesis deeply studies the technology of constructing dataspace model based on domain ontology,and implements the dataspace model system based on ontology to solve the problem of the distribution and schema heterogeneity of data resources and enrich the semantic relationship between data resources.The main work is as follows:1.According to the characteristics of the distribution of oilfield development data resources,the dataspace architecture is given combined with the actual application requirements of oilfield development and the needs of professional personalization of departments.Through the dataspace architecture,the integration of data resources is implemented,which provides service support for oil field development data sharing and data application.2.In order to solve the problem of weak semantic of data resources,this thesis proposes a method to construct ontology automatically by using existing knowledge sources.Based on the Epicentre model of POSC,the rules of constructing ontology automatically,automatic transformation mapping relation and automatic transformation algorithm are proposed to implement automatic construction of domain ontology.The oil domain ontology has been effectively applied in discovering the correlation between data resources and enriching the data semantics.3.Aiming at the problem of poor interoperability of data resources in oilfield development,a dataspace model ITNARD and its construction method are proposed.Based on the requirements of oilfield development,ITNARD dataspace model provides a formalknowledge representation method for all kinds of data resources.The mapping relationship between ITNARD and domain ontology is established and semantic association items is introduced into ITNARD dataspace model.At the same time,the axioms and rules of domain ontology are established to describe the relations between concepts.According to these axioms and rules,the association relations between domain data resources are reasoned.And through the ITNARD dataspace model mapping to specific data sources,information sharing is implemented.4.A dataspace model system based on ontology is designed and developed to meet the practical application requirements of oilfield development.The system includes the functions of ontology automatic transformation,ontology display,ontology management,data space model construction and management,inference rule construction,measure reasoning and semantic retrieval.The practicability and effectiveness of the dataspace architecture and dataspace model are verified,and the semantic retrieval of information resources is implemented.
Keywords/Search Tags:dataspace, data sharing, oilfield development, Epicentre, ontology reasoning, semantic retrieval
PDF Full Text Request
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