Semantic mediation of vocabularies for ocean observing systems

Graybeal, John; Isenor, Anthony W.; Rueda, Carlos

doi:10.1016/j.cageo.2011.08.002

Cited by 27 publications

(10 citation statements)

References 21 publications

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“…However, it must be noted that interoperability of data structures does not necessarily address semantic interoperability, which is required to consolidate data assets across multiple laboratories (Graybeal et al. ).…”

Section: Discussionmentioning

confidence: 99%

“…The standards-based approach used here for the information layer of the REA system is essential if interoperability of data sets between systems is to be realized. However, it must be noted that interoperability of data structures does not necessarily address semantic interoperability, which is required to consolidate data assets across multiple laboratories (Graybeal et al 2012).…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Combining the Arc Marine Framework with Geographic Metadata to Support Ocean Acoustic Modeling

Isenor¹,

Spears

2013

Transactions in GIS

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A data model for use in a rapid environmental assessment system is constructed. The data model is used in an information layer that supports acoustic assessments of the ocean environment. Such an assessment requires use of both historic and real‐time oceanographic data. The foundation of the data model is Arc Marine, a framework specification for geospatial oceanographic databases that provides structures for containing the basic data types used in oceanographic research. Arc Marine also allows design extensions to account for application specific data structures as demonstrated through incorporation of aspects of the International Organization for Standardization (ISO) 19115 Geographic Information–Metadata standard. The ISO 19115 standard provides structures for recording the historic processing of the data sets. The data model is used to construct a database in the open source database management system (DBMS) PostgreSQL. The resulting system also incorporates the concept of user exits, the seamless extension of the DBMS through inclusion of application‐specific software.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Combining the Arc Marine Framework with Geographic Metadata to Support Ocean Acoustic Modeling

Isenor¹,

Spears

2013

Transactions in GIS

Self Cite

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“…Efforts to design and integrate vocabularies in more specific application domains have been developed. Some examples may be found in meteorology (http://cfconventions.org/index.html), oceanography [46], environment (https://www.eionet.europa.eu/gemet/), geology [47] and mineral exploration [48].…”

Section: Geospatial Smart Representationsmentioning

confidence: 99%

“…Those structures should enable the efficient integrated storage (in terms of space) and the efficient access (in terms of response time) to vector and raster observation and modeling results with all the required dataset level and record level metadata. Finally, the semantic integration of already existing vocabularies such as SWEET [14], CF, GEMET, and other [46][47][48] should be enabled by the system, to foster semantic interoperability between data sources and applications.…”

Section: Challenge 3: Environmental Observation and Modeling Ontologymentioning

confidence: 99%

Smart Environmental Data Infrastructures: Bridging the Gap between Earth Sciences and Citizens

et al. 2020

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The monitoring and forecasting of environmental conditions is a task to which much effort and resources are devoted by the scientific community and relevant authorities. Representative examples arise in meteorology, oceanography, and environmental engineering. As a consequence, high volumes of data are generated, which include data generated by earth observation systems and different kinds of models. Specific data models, formats, vocabularies and data access infrastructures have been developed and are currently being used by the scientific community. Due to this, discovering, accessing and analyzing environmental datasets requires very specific skills, which is an important barrier for their reuse in many other application domains. This paper reviews earth science data representation and access standards and technologies, and identifies the main challenges to overcome in order to enable their integration in semantic open data infrastructures. This would allow non-scientific information technology practitioners to devise new end-user solutions for citizen problems in new application domains.

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“…For instance, metadata from a development perspective consists of information such as competency questions, ontological commitments, and design decisions; metadata from an implementation perspective consists of information for reasoning support, languages, rules, conformance to external standards and so forth. Properly defined ontology metadata has been a motivation of several applications of ontologies such as design of ontology repositories and libraries [12,16,[31][32][33], ontology selection [34] automatic production of documentation [35], ontology sharing [36].…”

Section: Related Work In Ontology Metadata Descriptionmentioning

confidence: 99%

Harnessing the Power of Unified Metadata in an Ontology Repository: The Case of AgroPortal

et al. 2018

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As any resources, ontologies, thesaurus, vocabularies and terminologies need to be described with relevant metadata to facilitate their identification, selection and reuse. For ontologies to be FAIR, there is a need for metadata authoring guidelines and for harmonization of existing metadata vocabularies-taken independently none of them can completely describe an ontology. Ontology libraries and repositories also have to play an important role. Indeed, some metadata properties are intrinsic to the ontology (name, license, description); other information, such as community feedbacks or relations to other ontologies are typically information that an ontology library shall capture, populate and consolidate to facilitate the processes of identifying and selecting the right ontology(ies) to use. We have studied ontology metadata practices by: (1) analyzing metadata annotations of 805 ontologies; (2) reviewing the most standard and relevant vocabularies (23 totals) currently available to describe metadata for ontologies (such as Dublin Core, Ontology Metadata Vocabulary, VoID, etc.); (3) comparing different metadata implementation in multiple ontology libraries or repositories. We have then built a new metadata model for our AgroPortal vocabulary and ontology repository, a platform dedicated to agronomy based on the NCBO BioPortal technology. AgroPortal now recognizes 346 properties from existing metadata vocabularies that could be used to describe different aspects of ontologies: intrinsic descriptions, people, date, relations, content, metrics, community, administration, and access. We use them to populate an internal model of 127 properties implemented in the portal and harmonized for all the ontologies. We-and AgroPortal's users-have spent a significant amount of time to edit and curate the metadata of the ontologies to offer a better synthetized and harmonized information and enable new ontology identification features. Our goal was also to facilitate the comprehension of the agronomical ontology landscape by displaying diagrams and charts about all the ontologies on the portal. We have evaluated our work with a user appreciation survey which confirms the new features are indeed relevant and helpful to ease the processes of identification and selection of ontologies. This paper presents how to harness the potential of a complete and unified metadata model with dedicated features in an ontology repository; however, the new AgroPortal's model is not a new vocabulary as it relies on preexisting ones. A generalization of this work is studied in a community-driven standardization effort in the context of the RDA Vocabulary and Semantic Services Interest Group.

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Semantic mediation of vocabularies for ocean observing systems

Cited by 27 publications

References 21 publications

Combining the Arc Marine Framework with Geographic Metadata to Support Ocean Acoustic Modeling

Combining the Arc Marine Framework with Geographic Metadata to Support Ocean Acoustic Modeling

Smart Environmental Data Infrastructures: Bridging the Gap between Earth Sciences and Citizens

Harnessing the Power of Unified Metadata in an Ontology Repository: The Case of AgroPortal

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