Groundwater data network interoperability

Brodaric, Boyan; Booth, Nathaniel L.; Boisvert, Eric; Lucido, Jessica M.

doi:10.2166/hydro.2015.242

Cited by 9 publications

(7 citation statements)

References 18 publications

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“…In addition to data collection and storage, a database should be able to share data with the public and exchange data with other databases [8,15]. From its origin, ADES has been envisioned as an open-access database and recently it has evolved into a database that is accessible through tools that make it possible to combine groundwater data with environmental data sources and to be updated regularly.…”

Section: Resultsmentioning

confidence: 99%

“…Reference system management is now evolving towards systems recognised at the European and international levels, such as the OGC (Open Geospatial Consortium), which proposes a conceptual and logical model for groundwater data exchange called groundwaterML [8,9]. Indeed, the use of common reference is an essential part of data quality assurance and an open access process allowing data reuse for environmental studies.…”

Section: The Groundwater Reference Systemmentioning

confidence: 99%

“…Numerous groundwater studies have generated large volumes of data that are difficult to access and reuse. The development of monitoring technology and information systems has made it necessary for all scientific disciplines to initiate data collection in central or interconnected databases, following strict rules that enable information sharing [1,8,9,17,19,21,36]. At the European level, the Water Framework Directive (WFD; [11]) established a structure for community action in the water policy field.…”

Section: Introductionmentioning

confidence: 99%

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Managing groundwater resources using a national reference database: the French ADES concept

2022

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Groundwater is an integral part of the water cycle and an essential human resource. Humans must protect this ever-changing heritage and preserve it in a sustainable way by understanding the physical and chemical properties of aquifers and monitoring their quantity and quality. Numerous studies have collected immense volumes of data that are difficult to access and not always comparable or of adequate quality. A pioneering national-scale database, ADES, was created in 1999 to store and make available quality data on French groundwater. This tool is freely accessible for/to water managers, scientists and the public. The data management system used in the database satisfies two important objectives: it is interoperable and based on a recognised groundwater reference system and provides high quality data to a large public. Data from different producers require normalisation and standardisation of system requirements to allow data integration and exchange. The database designers set up shared data models, and based the system on communal repositories of water points and hydrogeological entities. Nearly 102 million groundwater quality records and over 17 million water-level records are currently available, describing almost 61,800 stations. ADES makes it possible to visualise in “real-time" water level data for approximately 1500 stations equipped with GPRS (General Packet Radio Service) technology. ADES also provides, on a public website and via web services, public quantitative and qualitative data. ADES is an essential tool for developing groundwater services based on the FAIR guiding principles: Findable, Accessible, Interoperable and Reusable data (Wilkinson et al. in SD 3:160018, 2016) Article highlights A unique database for storing and disseminating reliable, comprehensive, and up-to-date groundwater data to a large public. An interoperable system based on a common reference system to ensure data reliability. An interoperable system based on a common reference system to ensure data reliability.

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Section: Resultsmentioning

confidence: 99%

Section: The Groundwater Reference Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Managing groundwater resources using a national reference database: the French ADES concept

2022

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“…This may ultimately lead to a specialized ontology integrating the elements and relationships in the proposed framework. This effort may build on prior ontology-development effort as this practice has been promoted and is widely implemented by the hydroinformatics community (Abbott, 1999;Islam and Piasecki, 2006;Beran and Piasecki, 2009;Garrido et al, 2012;Liu et al, 2013;Brodaric and Hahmann, 2014;Yu et al, 2015;Brodaric et al, 2016).…”

Section: Data and Information Modelingmentioning

confidence: 99%

Conversion of lignin pyrolysis oil to cyclohexyl methyl ethers as a promising biomass-derived solvent

et al. 2021

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“…IoT-enabled SWN applications have data/information interoperability if data providers (IoT) and data consumers (SWN applications) can exchange, deliver, or use data through sending messages in a coordinated way. Such messages must typically be transformed at each interoperability level [2], either by the sender or receiver, to a construct that can be readily consumed and thus understood by the receiver; this process is often referred to as message alignment [3]. Wasserman and Fay compare The Levels of Conceptual Interoperability Model (LCIM) [2] with the Open Systems Interconnection (OSI) model [4] and state that any of OSI based communication technologies can enable syntactic and semantic interoperability, though achieving the semantic interoperability at level 3 remains a major challenge in the Semantic Web [5].…”

Section: Introductionmentioning

confidence: 99%

Data Information Interoperability Model for IoT-enabled Smart Water Networks

Singh

Rizou

et al. 2022

2022 IEEE 16th International Conference on Semantic Computing (ICSC)

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Syntactic and semantic interoperability is a fundamental requirement for the success of the Internet of Things (IoT)-enabled Smart Water Networks (SWNs). Still, whilst consuming publicly accessible IoT data, the syntactic and semantic representation of the collected data poses challenges for the success of pervasive and ubiquitous sensing in the water domain.Challenges include the heterogeneity of data representation formats, semantic models, and the adoption of domain-specific standards and ontologies. These challenges emphasise the requirement for enhanced interoperability in SWNs. To address this, we propose a Data and Information Interoperability Model (DIIM) by combining the Semantic Web technologies, widely known for overcoming interoperability issues, and Model-driven architecture (MDA) approach. DIIM facilitates syntactic interoperability by serialization conversion and adoption of domainspecific standards as well as semantic interoperability of metadata by aligning the semantic models of IoT and Smart Water Network (SWN) applications. Furthermore, it automatically creates an ontology as a semantic model if it is missing and adds references to existing domain-specific ontologies as annotation in their models. We evaluate DIIM methodology by applying it to a real-world use case of IoT-enabled applications for water quality monitoring.

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Groundwater data network interoperability

Cited by 9 publications

References 18 publications

Managing groundwater resources using a national reference database: the French ADES concept

Managing groundwater resources using a national reference database: the French ADES concept

Conversion of lignin pyrolysis oil to cyclohexyl methyl ethers as a promising biomass-derived solvent

Data Information Interoperability Model for IoT-enabled Smart Water Networks

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