The GeoLink Modular Oceanography Ontology

Krisnadhi, Adila; Hu, Yingjie; Janowicz, Krzysztof; Hitzler, Pascal; Arko, R. A.; Carbotte, S. M.; Chandler, C. L.; Cheatham, Michelle; Fils, D.; Finin, Timothy W.; Jones, Matthew B.; Karima, Nazifa; Lehnert, Kerstin; Mickle, Audrey; Narock, T. W.; O'Brien, Margaret; Raymond, Lisa; Shepherd, Adam; Schildhauer, Mark; Wiebe, Peter H.

doi:10.1007/978-3-319-25010-6_19

Cited by 26 publications

(29 citation statements)

References 9 publications

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“…Thus, the data values themselves are not in the Linked Data cloud, but enough information about the data values is part of the Linked Data cloud that a semantically enabled application can retrieve the data, irrespective of how it is stored, and make immediate use of it. This is somewhat analogous to the approaches taken by (Krisnadhi et al, 2015;Ma et al, 2017;McGuinness et al, 2007;Narock et al, 2014). However, our approach differs by its subsequent use of individual measurements and connection to a semantically enabled open source community developed software framework.…”

Section: An Odp For Data Accesssupporting

confidence: 62%

“…Examples of semantically enabled search and retrieval systems in the Earth sciences include the Deep Carbon Observatory (Ma et al, 2017), the OceanLink project (Narock et al, 2014) and its successor GeoLink (Krisnadhi et al, 2015), and the Virtual Solar-Terrestrial Observatory (McGuinness et al, 2007). These systems have provided great benefit to their respective science communities by semantically modeling domain concepts and the relationships between them.…”

Section: Motivating Examplementioning

confidence: 99%

“…Corporations, governments, Wikipedia, social networking sites, and various academic communities have all produced LOD (Hogan et al, 2011) and it is emerging as a prominent means of publishing geoscience metadata (see for example Krisnadhi et al, 2015;Ma et al, 2017;Narock et al, 2014) There is also an emergence in the need to publish multi-dimensional data values, such as statistics, on this same "Web of Data. " These data values become more useful and interoperable when they are published in such a way that they can be linked to related datasets and concepts.…”

Section: Semantic Modeling Of Data-set Metadata and Individual Observmentioning

confidence: 99%

“…The Biological & Chemical Oceanography Data Management Office at the Woods Hole Oceanographic Institution has implemented a test instance of our ODPs as part of its Linked Data efforts. Querying this data using standard Semantic Web approaches -or a community portal such as a GeoLink (Krisnadhi et al, 2015) -returns instances of datasets containing the measurement type species. Our semantically enables software takes the Linked Data results (OWL instances) as inputs and uses the semantics to determine where the data is stored and how it is stored and arranged.…”

Section: Motivating Example Revisitedmentioning

confidence: 99%

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Semantics all the way down: the Semantic Web and open science in big earth data

Narock

Shepherd

2017

Big Earth Data

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Semantic technologies have emerged as a prominent research area within Big Earth Data. These technologies have provided significant benefits for data discovery and integration. Yet, the formality of the Semantic Web, in languages such as the Web Ontology Language (OWL), does not always integrate well with the numerical, statistical, and geometric methods of the geosciences. Two prominent challenges in this area are how to semantically model individual measurements and what to do when geoscience needs are not addressed by languages such as OWL. This has led to a fragmented Big Earth Data community with either no solution or incompatible semantic solutions. We use an oceanographic example to highlight the limitations and challenges surrounding the semantic encoding of observations and the use of semantics during analysis. We then present potential solutions to each challenge showing that a full endto-end application of semantic technologies is not only feasible, but beneficial to Big Earth Data.

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Section: An Odp For Data Accesssupporting

confidence: 62%

Section: Motivating Examplementioning

confidence: 99%

Section: Semantic Modeling Of Data-set Metadata and Individual Observmentioning

confidence: 99%

Section: Motivating Example Revisitedmentioning

confidence: 99%

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Semantics all the way down: the Semantic Web and open science in big earth data

Narock

Shepherd

2017

Big Earth Data

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“…By transforming them into Web compatible forms through Semantic Web technologies, they were applied to add structured descriptions to oceanographic datasets on the Web. The use of controlled vocabularies also enabled the connections among various resources and entities in oceanographic research, as well as the general geosciences (You 2015;Krisnadhi et al, 2015). For example, for a same concept, the vocabularies and ontologies will enable machines to find it as a topic in a publication or dataset, as a research interest of a scientist, a keyword of a research mission, as well as the capability of an instrument.…”

Section: Discussionmentioning

confidence: 99%

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

2017

Earth Sci Inform

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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.

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