Ontology-driven representation of knowledge for geological maps

Mantovani, Alizia; Piana, Fabrizio; Lombardo, V.

doi:10.1016/j.cageo.2020.104446

Cited by 26 publications

(18 citation statements)

References 39 publications

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“…Similar to the active discussion in cartography and GIScience, KGs in geologic map service and analysis will be a long-lasting research topic (cf. Mantovani et al, 2020).…”

Section: Knowledge Graphs and Digital Map Analysismentioning

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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“…Similar to the active discussion in cartography and GIScience, KGs in geologic map service and analysis will be a long-lasting research topic (cf. Mantovani et al, 2020).…”

Section: Knowledge Graphs and Digital Map Analysismentioning

confidence: 99%

Knowledge graph construction and application in geosciences: A review

Ma¹

2022

Preprint

View full text Add to dashboard Cite

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“…Another study proposing an ontology-driven representation of knowledge is the research carried out by Mantovani et al for managing geological maps [17]. In their approach, a domain ontology in the context of geological knowledge named OntoGeonous was used in order to constrain the behaviour of a dynamic data entry tool to refer to the terminology conveyed by the taxonomic-axiomatic nature of the ontology [17]. None of related work analyzed during this research take into account the semantics of data in the space and time dimensions.…”

Section: Related Workmentioning

confidence: 99%

“…The proposed solution is based on ViewOnto, a web ontology which was defined for the formal description of the semantics of data views in different scenarios [10,11]. Many domain ontologies have been created until now [11,14,17] but ViewOnto is the only one with this purpose of those available in the consulted literature. In this work, this ontology is taken into the dimensions of space and time.…”

Section: Introductionmentioning

confidence: 99%

Ontology-based Data Management Tool for Studying Radon Concentration

̃na¹,

Maigua-Quinteros²,

Urrutia-Urrutia³

et al. 2020

Adv. sci. technol. eng. syst. j.

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Interpreting data for solving information needs demands an understanding of the semantics of row data. In this paper, an ontology-driven management of data of the presence of radon gas in soil is presented. The main contribution of this research relies on the formal definition of the semantic of the presence of radon in the dimensions of space and time. As a result, a dynamic data view generator for the observation of radon measurements was deployed without actual software programming but with the proper adjustment and instantiation of the ontology ViewOnto, a web ontology which was created for the formal description of data views. An experimental assessment of the proposal was carried out with data obtained from stone aggregate mines and civil constructions in Tungurahua. The usability of the resulting data management system was successfully validated with the criteria of experts on usability and researchers with experience in radon measurement.

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“…It specifies a set of feature-types and supporting structures for information used in the solid-earth geosciences. In the GeoSciML approach, a geologic feature may have a geological history made up of successive geological events (Schiegl et al, 2008;Schuster, 2015;Mantovani et al, 2020). A geological event is described as an identifiable event where one or more geological processes act to modify the geological features (structures, geological unit, measures, analyses etc.).…”

mentioning

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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Ontology-driven representation of knowledge for geological maps

Cited by 26 publications

References 39 publications

Knowledge graph construction and application in geosciences: A review

Knowledge graph construction and application in geosciences: A review

Ontology-based Data Management Tool for Studying Radon Concentration

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

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