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
CorelKit is developed with the built-in VBA environment of CorelDraw?,and is a new plug-in in CorelDraw for geological and geochemical drawing.CorelKit can help users quickly and easily draw geological and geochemical...CorelKit is developed with the built-in VBA environment of CorelDraw?,and is a new plug-in in CorelDraw for geological and geochemical drawing.CorelKit can help users quickly and easily draw geological and geochemical graphs,such as scatterplot,triangular scatterplot,line chart,histogram,bar chart,box plot,pie graph,etc.In order to adapt to the geological application,the above functions are strengthened.Scatterplot and triangular scatterplot provide nearly 150 common basemaps,covering rock classification,structural environment discrimination,mineral genesis,isotope geochemistry,etc.,for the convenience of the user mapping.Meanwhile,CorelKit further provides a structural joint rose diagram and sulfur isotopic composition diagram.This software also has many practical functions such as Bézier line topology,Multiple Bézier lines close fill,Single inner fill,Correction basemap,Add a compass,Add a scale,which facilitates daily geological drawing.The software has a friendly interface,in both Chinese and English versions,and is suitable for CorelDraw X4 and later versions.We introduced the Bézier line topology to CorelKit for the first time,which is similar to the GIS®topology for geological maps.According to the“GB/T 958-2015 Geological Legends Used for Regional Geological Map”,a two-color filling library of rock pattern pictures is established,which is convenient to realize the twocolor filling of sedimentary rocks,metamorphic rocks and magmatic rocks patterns.Obviously,CorelKit makes up for many shortcomings of CorelDraw in geosciences and is a very practical tool for geoscience researchers.展开更多
Humankind is facing unprecedented global environmental and social challenges in terms of food,water and energy security,resilience to natural hazards,etc.To address these challenges,international organizations have de...Humankind is facing unprecedented global environmental and social challenges in terms of food,water and energy security,resilience to natural hazards,etc.To address these challenges,international organizations have defined a list of policy actions to be achieved in a relatively short and medium-term timespan.The development and use of knowledge platforms is key in helping the decision-making process to take significant decisions(providing the best available knowledge)and avoid potentially negative impacts on society and the environment.Such knowledge platforms must build on the recent and next coming digital technologies that have transformed society–including the science and engineering sectors.Big Earth Data(BED)science aims to provide the methodologies and instruments to generate knowledge from numerous,complex,and diverse data sources.BED science requires the development of Geoscience Digital Ecosystems(GEDs),which bank on the combined use of fundamental technology units(i.e.big data,learning-driven artificial intelligence,and network-based computing platform)to enable the development of more detailed knowledge to observe and test planet Earth as a whole.This manuscript contributes to the BED science research domain,by presenting the Virtual Earth Cloud:a multi-cloud framework to support GDE implementation and generate knowledge on environmental and social sustainability.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
Time is an essential reference system for recording objects,events,and processes in the field of geosciences.There are currently various time references,such as solar calendar,geological time,and regional calendar,to ...Time is an essential reference system for recording objects,events,and processes in the field of geosciences.There are currently various time references,such as solar calendar,geological time,and regional calendar,to represent the knowledge in different domains and regions,which subsequently entails a time conversion process required to interpret temporal information under different time references.However,the current time conversion method is limited by the application scope of existing time ontologies(e.g.,“Jurassic”is a period in geological ontology,but a point value in calendar ontology)and the reliance on experience in conversion processes.These issues restrict accurate and efficient calculation of temporal information across different time references.To address these issues,this paper proposes a Unified Time Framework(UTF)in the geosciences knowledge system.According to a systematic time element parsing from massive time references,the proposed UTF designs an independent time root node to get rid of irrelevant nodes when accessing different time types and to adapt to the time expression of different geoscience disciplines.Furthermore,this UTF carries out several designs:to ensure the accuracy of time expressions by designing quantitative relationship definitions;to enable time calculations across different time elements by designing unified time nodes and structures,and to link to the required external ontologies by designing adequate interfaces.By comparing the time conversion methods,the experiment proves the UTF greatly supports accurate and efficient calculation of temporal information across different time references in SPARQL queries.Moreover,it shows a higher and more stable performance of temporal information queries than the time conversion method.With the advent of the Big Data era in the geosciences,the UTF can be used more widely to discover new geosciences knowledge across different time references.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.
基金financially supported by the National Natural Science Foundation of China(Nos.91962218,42273061,41873034)the National Key Research and Development Plan(No.2022YFC2903503)the Fundamental Research Funds for the Central Universities of China(No.PA2019GDZC0093)。
文摘CorelKit is developed with the built-in VBA environment of CorelDraw?,and is a new plug-in in CorelDraw for geological and geochemical drawing.CorelKit can help users quickly and easily draw geological and geochemical graphs,such as scatterplot,triangular scatterplot,line chart,histogram,bar chart,box plot,pie graph,etc.In order to adapt to the geological application,the above functions are strengthened.Scatterplot and triangular scatterplot provide nearly 150 common basemaps,covering rock classification,structural environment discrimination,mineral genesis,isotope geochemistry,etc.,for the convenience of the user mapping.Meanwhile,CorelKit further provides a structural joint rose diagram and sulfur isotopic composition diagram.This software also has many practical functions such as Bézier line topology,Multiple Bézier lines close fill,Single inner fill,Correction basemap,Add a compass,Add a scale,which facilitates daily geological drawing.The software has a friendly interface,in both Chinese and English versions,and is suitable for CorelDraw X4 and later versions.We introduced the Bézier line topology to CorelKit for the first time,which is similar to the GIS®topology for geological maps.According to the“GB/T 958-2015 Geological Legends Used for Regional Geological Map”,a two-color filling library of rock pattern pictures is established,which is convenient to realize the twocolor filling of sedimentary rocks,metamorphic rocks and magmatic rocks patterns.Obviously,CorelKit makes up for many shortcomings of CorelDraw in geosciences and is a very practical tool for geoscience researchers.
基金The research leading to these results benefited from funding by the European Union's Horizon 2020 Framework Programme research and innovation programme[under grant agreements:n.689443(ERA-PLANET),n.777536(EOSC-hub),n.776136(EDGE),n.34538(EO Value),n.101039118(GPP)]by the European Space Agency[under ESA Contracts:n.4000123005/18/IT/CGD(DAB4EDGE)and n.4000138128/22/I/AG(DAB4GPP)]European Commission CNECT(grant n.35713).
文摘Humankind is facing unprecedented global environmental and social challenges in terms of food,water and energy security,resilience to natural hazards,etc.To address these challenges,international organizations have defined a list of policy actions to be achieved in a relatively short and medium-term timespan.The development and use of knowledge platforms is key in helping the decision-making process to take significant decisions(providing the best available knowledge)and avoid potentially negative impacts on society and the environment.Such knowledge platforms must build on the recent and next coming digital technologies that have transformed society–including the science and engineering sectors.Big Earth Data(BED)science aims to provide the methodologies and instruments to generate knowledge from numerous,complex,and diverse data sources.BED science requires the development of Geoscience Digital Ecosystems(GEDs),which bank on the combined use of fundamental technology units(i.e.big data,learning-driven artificial intelligence,and network-based computing platform)to enable the development of more detailed knowledge to observe and test planet Earth as a whole.This manuscript contributes to the BED science research domain,by presenting the Virtual Earth Cloud:a multi-cloud framework to support GDE implementation and generate knowledge on environmental and social sustainability.
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.
基金funded by the National Natural Science Foundation of China(Grant Nos.42050101 and 42101467)the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant No.XDA23100101).
文摘Time is an essential reference system for recording objects,events,and processes in the field of geosciences.There are currently various time references,such as solar calendar,geological time,and regional calendar,to represent the knowledge in different domains and regions,which subsequently entails a time conversion process required to interpret temporal information under different time references.However,the current time conversion method is limited by the application scope of existing time ontologies(e.g.,“Jurassic”is a period in geological ontology,but a point value in calendar ontology)and the reliance on experience in conversion processes.These issues restrict accurate and efficient calculation of temporal information across different time references.To address these issues,this paper proposes a Unified Time Framework(UTF)in the geosciences knowledge system.According to a systematic time element parsing from massive time references,the proposed UTF designs an independent time root node to get rid of irrelevant nodes when accessing different time types and to adapt to the time expression of different geoscience disciplines.Furthermore,this UTF carries out several designs:to ensure the accuracy of time expressions by designing quantitative relationship definitions;to enable time calculations across different time elements by designing unified time nodes and structures,and to link to the required external ontologies by designing adequate interfaces.By comparing the time conversion methods,the experiment proves the UTF greatly supports accurate and efficient calculation of temporal information across different time references in SPARQL queries.Moreover,it shows a higher and more stable performance of temporal information queries than the time conversion method.With the advent of the Big Data era in the geosciences,the UTF can be used more widely to discover new geosciences knowledge across different time references.
