Four interacting aspects of a geological survey knowledge system

Loudon, T.V.

doi:10.1016/j.cageo.2007.12.009

Cited by 8 publications

(6 citation statements)

References 4 publications

(4 reference statements)

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“…It supposes also to fix technological issues raised by the complexity of this approach implying the shift from relational databases to ontological formal languages that offer the possibility of encoding the complexity of knowledge production to create geological maps (Montovani et al, 2020). Results of several studies propose different ways to use this technology to manage similar information (Brodaric, 2004;Balestro and Piana, 2007;Loudon, 2009Loudon, , 2011Giboin et al, 2013) that should be considered in future works.…”

Section: Discussionmentioning

confidence: 99%

The geological-event reference system, a step towards geological data harmonization

Bayon¹,

Padel²,

Baudin³

et al. 2022

BSGF - Earth Sci. Bull.

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The temporal dimension is an inherent component of geology. In this regard, traditional geological maps can represent a few geological events, yet they hardly account for the entire complex rock history whether sedimentary, crystalline or volcanic. Here, using the RGF research program (French Geological Reference platform) we propose a new methodology based on digital technology and the French historical collection of 50 000-scale geological maps. This innovative approach consists of describing, organizing and hierarchizing a series of geological events within a reference framework and linking it to GIS map geometries (polygons, faults, points). In this way, the complete history of geological features can be compiled and stored in digital maps, combining distinct geological events and properties. For a single event, all associated transformations can be represented on maps, facilitating the production of real “palaeo-geological" maps that consider not only traditional sedimentary environments but also possible synchronous weathering, metamorphism, and volcanism. We discuss here an example of French Pyrenees orogenic history. The approach demonstrated here on geological maps can be used with other geological data media (boreholes, seismic reflection profiles, etc.) and thus facilitate a 3-to-4D scale, with a significant ability to address not only academic community needs, but also themes or issues related to applications required by politics, civil engineering, and society itself, to confront challenges such as natural and anthropic risk reduction and subsurface uses.

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Section: Discussionmentioning

confidence: 99%

The geological-event reference system, a step towards geological data harmonization

Bayon¹,

Padel²,

Baudin³

et al. 2022

BSGF - Earth Sci. Bull.

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“…They suggested that both statistical and logical methods contribute to the convergent work of data science, and the next-generation scientists should be aware of the KG developments in addition to the overwhelming ML and DL studies. As a reflection, earlier publications in geoinformatics and geomathematics have also addressed the importance of machine-readable knowledge models in the cyberinfrastructure (e.g., Loudon, 2000Loudon, , 2009 and the flexible application of data-driven and knowledge-driven approaches in data analysis (e.g., Bonham-Carter, 1994;Carranza, 2009). However, comparing with the many recent review papers on ML and DL in geosciences, there is a shortage of summary and review of KGs in geosciences.…”

Section: Introductionmentioning

confidence: 99%

Knowledge graph construction and application in geosciences: A review

Ma¹

2022

Preprint

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Knowledge graph (KG) is a topic of great interests to geoscientists as it can be deployed throughout the data life cycle in data-intensive geoscience studies. Nevertheless, comparing with the large amounts of publications on machine learning applications in geosciences, summaries and reviews of geoscience KGs are still limited. The aim of this paper is to present a comprehensive review of KG construction and implementation in geosciences. It consists of four major parts: 1) concepts rele-vant to KG and approaches for KG construction, 2) KG application in data collection, curation, and service, 3) KG application in data analysis, and 4) challenges and trends of geoscience KG creation and application in the near future. For each of the first three parts, a list of concepts, exemplar stud-ies, and best practices are summarized. Those summaries are synthesized together in the challenge and trend analyses. As artificial intelligence and data science are thriving in geosciences, we hope this review of geoscience KGs can be of value to practitioners in data-intensive geoscience studies.

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“…It is known that geological mapping largely consists in a process of inferencing (Brodaric, 2004;Balestro & Piana, 2007;Loudon, 2009; because, in geology, rocks often document events that are inferred to have occurred, and not directly observed .…”

Section: Introductionmentioning

confidence: 99%

“…"Geologists make sense of their observations by integrating them with through reasoning and interpretation"(Loudon, 2009) …”

mentioning

confidence: 99%

Ontology-driven representation of knowledge for geological maps

Mantovani

Piana

Lombardo

2020

Computers & Geosciences

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This paper presents an ontology-driven representation of knowledge for geological maps. The ontological formal language allows for a machine-readable encoding of the Earth scientist's interpretation through semantic categories and properties and is credited to support knowledge sharing and interoperability. We introduce an ontology-driven method for the interpretation and the encoding of the map data that employs shared vocabularies and resources encoded through ontologies in order to prevent the use of ambiguous terms. The approach relies on a computational ontology of the geological knowledge (OntoGeonous), which formalizes a number of geological knowledge sources (including GeoScienceML), to guide the interpretation process. The design of the database underlying the map (OntoGeoBase) constrains the process of data entry to refer to the terminology conveyed by the taxonomic-axiomatic nature of the ontology. This reduces the amount of implicit knowledge favouring a conceptual alignment of the ancillary documentation with the map, leading to a better comprehension of map and allowing the traceability of the interpretation.

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Four interacting aspects of a geological survey knowledge system

Cited by 8 publications

References 4 publications

The geological-event reference system, a step towards geological data harmonization

The geological-event reference system, a step towards geological data harmonization

Knowledge graph construction and application in geosciences: A review

Ontology-driven representation of knowledge for geological maps

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