A SKOS-based multilingual thesaurus of geological time scale for interoperability of online geological maps

Ma, Xiaogang; Carranza, Emmanuel John M.; Wu, Chunming; Meer, Freek D. van der; Liu, Gang

doi:10.1016/j.cageo.2011.02.011

Cited by 29 publications

(9 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Following up on the continuous stakeholder engagement, a workgroup was formed to formalize the emerging standards for hydro‐climate and general observation data federation in New Zealand and develop the New Zealand Environmental Observation Data Profile (EODP) into a standardization document. The profile refines existing information and web service specifications published by the OGC, and vocabulary data standards defined by the World Wide Web Consortium (W3C) (Ma et al ). The only scenario supported directly by this document is data discovery where the services and their responses act as indexes – providing the minimum required information to locate observation data for a phenomenon in space and time.…”

Section: Resultsmentioning

confidence: 87%

A Spatial Data Infrastructure Approach for the Characterization of New Zealand's Groundwater Systems

Kmoch

Klug

Ritchie

et al. 2015

Transactions in GIS

View full text Add to dashboard Cite

The future information needs of stakeholders for hydrogeological and hydro-climate data management and assessment in New Zealand may be met with an Open Geospatial Consortium (OGC) standards-compliant publicly accessible web services framework which aims to provide integrated use of groundwater information and environmental observation data in general. The stages of the framework development described in this article are search and discovery as well as data collection and access with (meta)data services, which are developed in a community process. The concept and prototype implementation of OGC-compliant web services for groundwater and hydro-climate data include demonstration data services that present multiple distributed datasets of environmental observations. The results also iterate over the stakeholder community process and the refined profile of OGC services for environmental observation data sharing within the New Zealand Spatial Data Infrastructure (SDI) landscape, including datasets from the National Groundwater Monitoring Program and the New Zealand Climate Database along with datasets from affiliated regional councils at regional-and sub-regional scales. With the definition of the New Zealand observation data profile we show that current state-of-the-art standards do not necessarily need to be improved, but that the community has to agree upon how to use these standards in an iterative process.

show abstract

Section: Resultsmentioning

confidence: 87%

A Spatial Data Infrastructure Approach for the Characterization of New Zealand's Groundwater Systems

Kmoch

Klug

Ritchie

et al. 2015

Transactions in GIS

View full text Add to dashboard Cite

show abstract

“…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

View full text Add to dashboard Cite

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.

show abstract

“…By using the properties "skos:prefLabel" and "skos:altLabel" from SKOS, each concept in the vocabulary of geologic time scale can have labels in several languages (Ma et al, 2011). A key reason for this study to reuse the vocabulary developed by Cox and Richard (2015) is that it includes labels in more than 20 languages.…”

Section: Knowledge Base Datasets and Technological Componentsmentioning

confidence: 99%

Linked Geoscience Data in practice: where W3C standards meet domain knowledge, data visualization and OGC standards

2017

Earth Sci Inform

Self Cite

View full text Add to dashboard Cite

Abstract:The geoscience community is now facing both the challenge and the opportunity caused by the vast amount of datasets that can be made available on the Web. An efficient "data environment" on the Web has the potential to enable geoscientists to conduct their research in ways that never existed before. Standards developed by the Open Geospatial Consortium have already been used widely to build data services among different subjects in geosciences. In recent years, the Linked Open Data approach initiated by the World Wide Web Consortium has received increasing attention. In this paper, the author presents a pilot study that uses a domain specific knowledge base and data visualization techniques to leverage the functionality of geoscience data services in the Web of Data. The study focuses on the topic of the geologic time scale. Detailed works such as semantic modeling and encoding, multilingual vocabularies, exploratory data visualization, web map service and processing, and the query of linked data are introduced through real-world datasets. This study faces a broad perspective of the Linked Geoscience Data and leverages the functionalities of existing standards into a new level for geoscience applications.

show abstract

A SKOS-based multilingual thesaurus of geological time scale for interoperability of online geological maps

Cited by 29 publications

References 56 publications

A Spatial Data Infrastructure Approach for the Characterization of New Zealand's Groundwater Systems

A Spatial Data Infrastructure Approach for the Characterization of New Zealand's Groundwater Systems

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

Linked Geoscience Data in practice: where W3C standards meet domain knowledge, data visualization and OGC standards

Contact Info

Product

Resources

About