Recent dramatic advances in technologies such as computer, data management, and communication have revolutionized the way geologists collect, disseminate, and utilize geoscience data. After summarized the characterist...Recent dramatic advances in technologies such as computer, data management, and communication have revolutionized the way geologists collect, disseminate, and utilize geoscience data. After summarized the characteristics and fusion of geo data, several major field data capture systems adopted in North America have been introduced. Geoscience information dissemination and distribution via the web technology and GIS package have also been discussed. In addition, multi sources geo data integration and their applications to mineral exploration, geological hazard risk assessment, and national land resources protection and utilization have been addressed by concrete examples.展开更多
The authors designed the spatial data mining system for ore-forming prediction based on the theory and methods of data mining as well as the technique of spatial database,in combination with the characteristics of geo...The authors designed the spatial data mining system for ore-forming prediction based on the theory and methods of data mining as well as the technique of spatial database,in combination with the characteristics of geological information data.The system consists of data management,data mining and knowledge discovery,knowledge representation.It can syncretize multi-source geosciences data effectively,such as geology,geochemistry,geophysics,RS.The system digitized geological information data as data layer files which consist of the two numerical values,to store these files in the system database.According to the combination of the characters of geological information,metallogenic prognosis was realized,as an example from some area in Heilongjiang Province.The prospect area of hydrothermal copper deposit was determined.展开更多
Ontologies are increasingly deployed as a computer-accessible representation of key semantics in various parts of a data life cycle and, thus, ontology dynamics may pose challenges to data management and re-use. By us...Ontologies are increasingly deployed as a computer-accessible representation of key semantics in various parts of a data life cycle and, thus, ontology dynamics may pose challenges to data management and re-use. By using examples in the field of geosciences, we analyze challenges raised by ontology dynamics, such as heavy reworking of data, semantic heterogeneity among data providers and users, and error propagation in cross-discipline data discovery and re-use. We also make recommendations to address these challenges： （1） communities of practice on ontologies to re- duce inconsistency and duplicated efforts; （2） use ontologies in the procedure of data collection and make them accessible to data users; and （3） seek methods to speed up the reworking of data in a Semantic Web context.展开更多
文摘Recent dramatic advances in technologies such as computer, data management, and communication have revolutionized the way geologists collect, disseminate, and utilize geoscience data. After summarized the characteristics and fusion of geo data, several major field data capture systems adopted in North America have been introduced. Geoscience information dissemination and distribution via the web technology and GIS package have also been discussed. In addition, multi sources geo data integration and their applications to mineral exploration, geological hazard risk assessment, and national land resources protection and utilization have been addressed by concrete examples.
文摘The authors designed the spatial data mining system for ore-forming prediction based on the theory and methods of data mining as well as the technique of spatial database,in combination with the characteristics of geological information data.The system consists of data management,data mining and knowledge discovery,knowledge representation.It can syncretize multi-source geosciences data effectively,such as geology,geochemistry,geophysics,RS.The system digitized geological information data as data layer files which consist of the two numerical values,to store these files in the system database.According to the combination of the characters of geological information,metallogenic prognosis was realized,as an example from some area in Heilongjiang Province.The prospect area of hydrothermal copper deposit was determined.
文摘Ontologies are increasingly deployed as a computer-accessible representation of key semantics in various parts of a data life cycle and, thus, ontology dynamics may pose challenges to data management and re-use. By using examples in the field of geosciences, we analyze challenges raised by ontology dynamics, such as heavy reworking of data, semantic heterogeneity among data providers and users, and error propagation in cross-discipline data discovery and re-use. We also make recommendations to address these challenges： （1） communities of practice on ontologies to re- duce inconsistency and duplicated efforts; （2） use ontologies in the procedure of data collection and make them accessible to data users; and （3） seek methods to speed up the reworking of data in a Semantic Web context.
