Research On The Application Of Linked Data Technology In Term Correlation Of Oilfield Domain

At present,petroleum terminology not only plays an important role in the field of petroleum literature retrieval,but also is widely used in data standardization,data modeling and data exchange.Especially in recent years,with more and more applications of big data and artificial intelligence technology in petroleum field,knowledge of petroleum field has become the foundation of artificial intelligence technology application in petroleum industry.Therefore,terminology has also become an important data for the realization of knowledge organization and representation in petroleum industry.It is well known that the terminology of petroleum industry mainly exists in the form of paper or electronic version.It is difficult for users to discover the deep relationship between the terms.Moreover,this form lacks the connection to external literature resources,and as a result,it is not easy for users to find relevant knowledge from these terms.Therefore,how to link these petroleum terminology resources together and publish them on the Internet is a problem that needs to be solved in the sharing of petroleum terminology resources.The contents of this thesis are as follows.1.Research on the Technology of constructing semantic linked data of Petroleum terminology Resources.This thesis investigates the current situation of linked data at home and abroad,and analyzes the construction principle,construction process,construction tools and methods of association relation of semantic linked data in petroleum field.2.The semantic description model of petroleum terms is constructed and published as linked data.Based on the study of Simple Knowledge Organization System(SKOS)proposed by WC3,this thesis analyzes the knowledge organization structure of petroleum terms,designs a semantic description model of SKOS for Chinese Thesaurus of Petroleum.Develop converters to convert data in RDF/XML format to relational databases and publish terminology linked data.3.The semantic description model of literature resources is constructed and published as linked data.This thesis deeply analyzes all kinds of petroleum documents in the Chinese Petroleum Documentation Database,constructs the semantic normalization description model of petroleum literature by using the international standard ontology,at the same time,it is associated with petroleum terms and published.4.The prototype system of domain linked data knowledge service is developed.In this thesis,the technical framework of the linked data knowledge service system of petroleumterminology is designed,and the prototype system of linked data knowledge service in oil field is designed and developed under the background of term resources in the field of "oil and gas field development".The correlation and sharing of domain knowledge are realized,and the viewpoint proposed in this thesis is verified.Through the research above,it is shown that the linked data technology enables the semantic organization and deep integration of petroleum terminology resources and petroleum literature resources.It is convenient for oil users to share terminology resources,knowledge discovery and so on.