The key activity to build semantic web is to build ontologies. But today, the theory and methodology of ontology construction is still far from ready. This paper proposed a theoretical framework for massive knowledge ...The key activity to build semantic web is to build ontologies. But today, the theory and methodology of ontology construction is still far from ready. This paper proposed a theoretical framework for massive knowledge management- the knowledge domain framework (KDF), and introduces an integrated development environment (IDE) named large-scale ontology development environment (LODE), which implements the proposed theoretical framework. We also compared LODE with other popular ontology development environments in this paper. The practice of using LODE on management and development of agriculture ontologies shows that knowledge domain framework can handle the development activities of large scale ontologies. Application studies based on the described briefly. principle of knowledge domain framework and LODE was展开更多
The airwave effect greatly influences the observational data from controlledsource electromagnetic exploration in shallow seas, which obscures the abnormal effects generated by exploration targets and, hence, affects ...The airwave effect greatly influences the observational data from controlledsource electromagnetic exploration in shallow seas, which obscures the abnormal effects generated by exploration targets and, hence, affects the accuracy of the late exploration data interpretation. In this study, we propose a method to separate the main part from the anomalous field of marine controlled-source electromagnetic method (MCSEM) data based on Stratton-Chu integral transforms to eliminate the airwave effect, which dominates observed electromagnetic (EM) response in shallow seawater. This method of separating the main part from the anomalous field is a type of finite impulse response filter based on a discrete data set. Theoretical analysis proved that the method is stable and able to effectively depress noise. A numerical test indicated that the method could successfully eliminate the airwave effect from the observed EM signals generated by an air water interface and a seawater layer. This technique is applicable for seawater models with either flat or rough seabeds.展开更多
This paper introduces efforts and achievements of Agriculture Ontology Service Research Group of Agricultural Information Institute of Chinese Academy of Agriculture Sciences in last 10 years. It summarizes the resear...This paper introduces efforts and achievements of Agriculture Ontology Service Research Group of Agricultural Information Institute of Chinese Academy of Agriculture Sciences in last 10 years. It summarizes the research on ontology construction methodology, ontology management system, ontology application and etc.展开更多
The computer swine disease diagnosis is an important tool for swine farming industry, but the traditional expert system cannot meet the requirement of practical application. To improve the situation, a swine disease o...The computer swine disease diagnosis is an important tool for swine farming industry, but the traditional expert system cannot meet the requirement of practical application. To improve the situation, a swine disease ontology is constructed, which can model the knowledge of swine disease diagnosis into a concept system, and a mechanism that can save the ontology into relational database is established, further more a computer system is developed to implement ontology- based swine disease diagnosis, so make the diagnosis results extended and more precise.展开更多
Shibaozhai area is located in the northeast Sichuan Basin in Southwest China.In recent years,oil and gas reservoirs with abundant reserves have been discovered in nearby areas.Six magnetotelluric(MT)survey lines were ...Shibaozhai area is located in the northeast Sichuan Basin in Southwest China.In recent years,oil and gas reservoirs with abundant reserves have been discovered in nearby areas.Six magnetotelluric(MT)survey lines were arranged to investigate the deep geoelectrical structures and hidden faults that controlled the hydrocarbon migration along the eastern Kaijiang–Liangping trough and Dachiganjing tectonic belt in this area.The MT sounding data for 181 sites,which covered an area of 15×6 km,were collected.Twodimensional transverse-magnetic-mode inversion of the data revealed four geoelectric layers with a total thickness of approximately 10 km.A low resistivity layer with a thickness of 4 km was discovered in the middle of the exploration area.The combination of faults within the study area revealed a northeast-direction thrust-fault system,which was displaced by northwest-direction faults.The regional geological structures played a significant role in controlling hydrocarbon and gas accumulation.The results of this study could be beneficial in analyzing the geological structure of hydrocarbon reservoirs in this area and can be extended to the exploration of areas in the boundary of a basin.展开更多
基金supported by the Key Technology R&D Program of China during the 12th Five-Year Plan period:Super-Class Scientific and Technical Thesaurus and Ontology Construction Faced the Foreign Scientific and Technical Literature (2011BAH10B01)
文摘The key activity to build semantic web is to build ontologies. But today, the theory and methodology of ontology construction is still far from ready. This paper proposed a theoretical framework for massive knowledge management- the knowledge domain framework (KDF), and introduces an integrated development environment (IDE) named large-scale ontology development environment (LODE), which implements the proposed theoretical framework. We also compared LODE with other popular ontology development environments in this paper. The practice of using LODE on management and development of agriculture ontologies shows that knowledge domain framework can handle the development activities of large scale ontologies. Application studies based on the described briefly. principle of knowledge domain framework and LODE was
基金supported by the National Natural Science Foundation of China(No.41574067)863 Program(No.2012AA09A404)
文摘The airwave effect greatly influences the observational data from controlledsource electromagnetic exploration in shallow seas, which obscures the abnormal effects generated by exploration targets and, hence, affects the accuracy of the late exploration data interpretation. In this study, we propose a method to separate the main part from the anomalous field of marine controlled-source electromagnetic method (MCSEM) data based on Stratton-Chu integral transforms to eliminate the airwave effect, which dominates observed electromagnetic (EM) response in shallow seawater. This method of separating the main part from the anomalous field is a type of finite impulse response filter based on a discrete data set. Theoretical analysis proved that the method is stable and able to effectively depress noise. A numerical test indicated that the method could successfully eliminate the airwave effect from the observed EM signals generated by an air water interface and a seawater layer. This technique is applicable for seawater models with either flat or rough seabeds.
基金supported by the by the Key Technology R&D Program of China during the 12th Five-Year Plan period:Super-Class Scientific and Technical Thesaurus and Ontology Construction Faced the Foreign Scientifi cand Technical Literature (2011BAH10B01)
文摘This paper introduces efforts and achievements of Agriculture Ontology Service Research Group of Agricultural Information Institute of Chinese Academy of Agriculture Sciences in last 10 years. It summarizes the research on ontology construction methodology, ontology management system, ontology application and etc.
基金supported by the Special Project,Ministry of Agriculture,China (2012-J-01)
文摘The computer swine disease diagnosis is an important tool for swine farming industry, but the traditional expert system cannot meet the requirement of practical application. To improve the situation, a swine disease ontology is constructed, which can model the knowledge of swine disease diagnosis into a concept system, and a mechanism that can save the ontology into relational database is established, further more a computer system is developed to implement ontology- based swine disease diagnosis, so make the diagnosis results extended and more precise.
基金supported by the National Natural Science Foundation of China(42074085,and 41574067).
文摘Shibaozhai area is located in the northeast Sichuan Basin in Southwest China.In recent years,oil and gas reservoirs with abundant reserves have been discovered in nearby areas.Six magnetotelluric(MT)survey lines were arranged to investigate the deep geoelectrical structures and hidden faults that controlled the hydrocarbon migration along the eastern Kaijiang–Liangping trough and Dachiganjing tectonic belt in this area.The MT sounding data for 181 sites,which covered an area of 15×6 km,were collected.Twodimensional transverse-magnetic-mode inversion of the data revealed four geoelectric layers with a total thickness of approximately 10 km.A low resistivity layer with a thickness of 4 km was discovered in the middle of the exploration area.The combination of faults within the study area revealed a northeast-direction thrust-fault system,which was displaced by northwest-direction faults.The regional geological structures played a significant role in controlling hydrocarbon and gas accumulation.The results of this study could be beneficial in analyzing the geological structure of hydrocarbon reservoirs in this area and can be extended to the exploration of areas in the boundary of a basin.