Three-Dimensional Structural Geological Modeling Using Graph Neural Networks

Mathematical Geosciences - Three-dimensional structural geomodels are increasingly being used for a wide variety of scientific and societal purposes. Most advanced methods for generating these...     

Finding Science with Science: Evaluating a Domain and Scientific Ontology User Interface for the Discovery of Scientific Resources

Current approaches to the discovery of scientific resources (publications, data sets and web services) are dominated by keyword search. These approaches do not allow scientists to search on the deeper semantics of scientific resources, or to discover resources on the basis of the scientific approaches taken. This article evaluates a user interface that allows users to discover scientific resources through structured knowledge in the form of ontologies describing the domain and the scientific knowledge inherent within the scientific resource, and also through informal user tags. These combined capabilities provide scientists with new and powerful options for resource discovery. A qualitative user evaluation explored how scientists felt about the approach for resource discovery in the context of their scientific work. The study showed that marine scientists were enthusiastic about the capabilities of such an approach and appreciated the ability to browse the visual structure of the knowledge and query on scientific method but, overall, preferred the use of tags over ontologies. The exploratory nature of the user study was used to identify future directions for such improvements.     

Characterizing and representing inference histories in geologic mapping

Evaluation of the utility of a geologic map can require understanding of its knowledge evolution. In such cases, online usage further requires machine representation of both the knowledge and the evolution. To meet these needs, an informal structure is developed here that involves the interaction of the three reasoning forms of abduction, induction, and deduction. Empirical results are presented that support the structure, and a foundational ontology for science knowledge is adapted to represent the structure. These results lead to a new understanding of the role of the three reasoning forms in geologic mapping and constitute a new approach to the machine representation of geologic knowledge evolution. The approach also has potential to characterize the mapping of many types of geographic regions.     

Geo-Pragmatics for the Geospatial Semantic Web

Geo‐Pragmatics is introduced here as an enhanced representation for ontologies in which geospatial, geographical and geoscientific concepts are not only defined, but their pragmatic context is also captured and potentially reasoned with. A framework for representing such context is developed using three core aspects: dimensions, agents and roles. Dimensions consist of a concept's origins, uses and effects; these are generated by the interaction of human, machine and natural agents, and involve entities with roles developed from method‐driven perspectives and epistemic‐driven versions. The relationship between these core aspects is explored conceptually and implications for geoscientific ontologies are discussed, including identification of a basic ontological type, the situated concept, whose meaning is defined by its geographical‐historical context. Geo‐pragmatics should help geoscientists evaluate the scientific merit, and fitness for scientific use, of geoscientific ontologies in emerging e‐science initiatives.     

Enabling global exchange of groundwater data: GroundWaterML2 (GWML2)

GWML2 is an international standard for the online exchange of groundwater data that addresses the problem of data heterogeneity. This problem makes groundwater data hard to find and use because the data are diversely structured and fragmented into numerous data silos. Overcoming data heterogeneity requires a common data format; however, until the development of GWML2, an appropriate international standard has been lacking. GWML2 represents key hydrogeological entities such as aquifers and water wells, as well as related measurements and groundwater flows. It is developed and tested by an international consortium of groundwater data providers from North America, Europe, and Australasia, and facilitates many forms of data exchange, information representation, and the development of online web portals and tools.