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This document reports on an exercise involving several government organizations, private companies, and academics trying to harmonize various representations of boreholes into acommon model. Boreholes are widely used in geoscience and engineering to probe and assess the underground, and all those communities (custodians, vendors, distributors, etc.) model this information differently. This heterogeneity becomes a problem when information from various sources needs to be aggregated. On the other hand, different communities use boreholes,therefore, different models are expected to address different use cases. This experiment looked at solutions to harmonize core aspects of boreholes while recognizing domain specific models. This exercise resulted in a tentative model, examples and recommendations for next steps. Those steps include the recommendation for OGC to support the creation of a Borehole Standards Working Group (SWG) to formalize the core borehole model (BoreholeML (BhML)) as anofficial standard. Future work should include expanding the scope of the draft borehole model presented here and co-ordinate with ongoing OGC Geoscience standards for geology and hydrogeology to ensure that those standards can operate together. It also includes working with existing standard custodians to produce BhML-compliant version of their existing borehole standards. Generic information describing the Borehole (who, how, when, etc.) and the other aspects that describe a Borehole (e.g. construction, monitoring, management areas, etc.) are required butwere excluded from this IE. Many of these are already summarized in pre-existing models. This semantic enrichment should be undertaken by a second Borehole IE or a SWG. This report includes several XML Instance Documents that conform to a draft BhML XML Schema. These are contained in the various ER Annexes as well as from the Borehole IE GitHub repository (https://github.com/opengeospatial/boreholeie/). Where appropriate, the report references the corresponding GitHub content.

International audience

This document presents OGC Interoperability Experiments, Goals, More Background, Use Cases, Underlying Technical Issues, Underlying Technical Issues, Breaking down Goals, JSON-LD Contexts, ELFIE Best Practices, ELFIE Issues, Data Access, ELFIE in Context - BLiv

International audience

Nowadays, preservation of the environment is a main priority. Understanding of environmental phenomena requires the study and the combination of an increasing number of heterogeneous data. Several international initiatives (INSPIRE, GEOSS) aims to encourage the sharing and exchange of those data.In this thesis, the interest of making scientific models available on the web is discussed. The value of using applications based on geospatial data is demonstrated. Several methods and means that satisfy the requirements of interoperability are also purposed.Our approach is illustrated by the implementation of models for estimating agricultural and domestic water requirements. Those models can be used at different spatial scales and temporal granularities. A prototype based on a complete web service oriented architecture was developed. The tool is based on the OGC standards Web Feature Service (WFS), Sensor Observation Service (SOS) and Web Processing Service (WPS).Finally, taking into account the imperfections of the data is also discussed with the integration of methods for sensitivity analysis and uncertainty propagation.; De nos jours, la préservation de l’environnement constitue un enjeu prioritaire. La compréhension des phénomènes environnementaux passe par l’étude et la combinaison d’un nombre croissant de données hétérogènes. De nombreuses initiatives internationales (INSPIRE, GEOSS) visent à encourager le partage et l’échange de ces données. Dans ce sujet de recherche, nous traitons de l’intérêt de mettre à disposition des modèles scientifiques sur le web. Nous montrons l’intérêt d’utiliser des applications s’appuyant sur des données géoréférencées et présentons des méthodes et des moyens répondant aux exigences d’interopérabilité. Nous illustrons notre approche par l’implémentation de modèles d’estimation des besoins en eau agricoles et domestiques fonctionnant à diverses échelles spatiales et temporelles. Un prototype basé sur une architecture entièrement orientée services web a été développé. L’outil s’appuie sur les standards Web Feature Service (WFS), Sensor Observation Service (SOS) et Web Processing Service (WPS) de l’OGC. Enfin, la prise en compte des imperfections des données est également abordée avec l’intégration de méthodes d’analyse de sensibilité et de propagation de l’incertitude.