CHRONOS architecture: Experiences with an open-source services-oriented architecture for geoinformatics

Fils, D.; Cervato, Cinzia; Reed, J.; Diver, Patrick; Tang, Xianming; Bohling, Geoffrey C.; Greer, D.

doi:10.1016/j.cageo.2008.02.035

Cited by 16 publications

(7 citation statements)

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“…The Neptune database was originally developed in the early 1990s [17] , initially analyzed in the late 1990s [16] and ported to the internet by the Chronos project (USA) in the early 2000s [33] . The Chronos version has for some years now been in a somewhat unstable post-funding maintenance state, and one recent user [34] reported finding errors in the calcareous nannofossil content.…”

Section: Methodsmentioning

confidence: 99%

Cenozoic Planktonic Marine Diatom Diversity and Correlation to Climate Change

et al. 2014

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Marine planktonic diatoms export carbon to the deep ocean, playing a key role in the global carbon cycle. Although commonly thought to have diversified over the Cenozoic as global oceans cooled, only two conflicting quantitative reconstructions exist, both from the Neptune deep-sea microfossil occurrences database. Total diversity shows Cenozoic increase but is sample size biased; conventional subsampling shows little net change. We calculate diversity from a separately compiled new diatom species range catalog, and recalculate Neptune subsampled-in-bin diversity using new methods to correct for increasing Cenozoic geographic endemism and decreasing Cenozoic evenness. We find coherent, substantial Cenozoic diversification in both datasets. Many living cold water species, including species important for export productivity, originate only in the latest Miocene or younger. We make a first quantitative comparison of diatom diversity to the global Cenozoic benthic ∂18O (climate) and carbon cycle records (∂13C, and 20-0 Ma pCO2). Warmer climates are strongly correlated with lower diatom diversity (raw: rho = .92, p<.001; detrended, r = .6, p = .01). Diatoms were 20% less diverse in the early late Miocene, when temperatures and pCO2 were only moderately higher than today. Diversity is strongly correlated to both ∂13C and pCO2 over the last 15 my (for both: r>.9, detrended r>.6, all p<.001), but only weakly over the earlier Cenozoic, suggesting increasingly strong linkage of diatom and climate evolution in the Neogene. Our results suggest that many living marine planktonic diatom species may be at risk of extinction in future warm oceans, with an unknown but potentially substantial negative impact on the ocean biologic pump and oceanic carbon sequestration. We cannot however extrapolate our my-scale correlations with generic climate proxies to anthropogenic time-scales of warming without additional species-specific information on proximate ecologic controls.

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Section: Methodsmentioning

confidence: 99%

Cenozoic Planktonic Marine Diatom Diversity and Correlation to Climate Change

et al. 2014

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“…This mark-up language covers geoscience domains of particular interest, such as boreholes, cross sections, and structural geology, which is applied to CHRONOS to seamlessly integrate stratigraphic database and tools into a virtual on-line subsurface record (Fils et al 2009). Some researchers have been developing ontology of subsurface fractures for assessing natural hazards (earthquakes, volcanoes, and landslides) that makes explicit specification about fractures, their properties, and the deformation mechanisms which lead to subsurface formation and evolution (Zhong et al 2009).…”

Section: Geoscience-data Exchange and Geoscimlmentioning

confidence: 99%

Subsurface-data reasoning framework for natural disasters

Lee

2011

Appl Geomat

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Many heterogeneous data are being distributed via the Web. The heterogeneous data that different suppliers produce make it difficult for users to find and share the data they need. Especially in the GIS, reuse and sharing are very difficult. In this study, the ontological methodology was used to overcome the semantic heterogeneity in the subsurface database system, which is one of Korea's national geospatial information systems and essential for the prevention of diverse natural disasters. The subsurface ontology model, which consists of a generic concept, a measurement unit, a spatial model, and subsurface information, was developed using OWL-DL. Also, subsurface-data reasoning framework, which needs to query, interpret by Jena reasoning engine, and integrate thematic information in the interoperable repositories, open-source geospatial services (e.g. WMS, WFS), and external open-map services was implemented to raise a natural language-style sample query for the retrieval of boring hole or subsurface area in high liquefaction potential. In the future, this study will be expanded to establish domain ontology related to other natural hazards and semantic reasoning system for preventing these disasters by which semantic sharing could be made available in the national geospatial information system.

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“…This would provide benefits as described in [5]: using semantic knowledge to integrate and link the data, and providing a standardized representation of all data and links. Further benefits of the semantic approach are discussed in section 5.…”

Section: Figure 1 --Architecture Showing the Various Components Of Thmentioning

confidence: 99%

Integrating engineering data systems for NASA spaceflight projects

Carvalho

Tollinger

Bell

et al. 2012

2012 IEEE Aerospace Conference

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Abstract-NASA has a large range of custom-built and commercial data systems to support spaceflight programs. Some of the systems are re-used by many programs and projects over time. Management and systems engineering processes require integration of data across many of these systems, a difficult problem given the widely diverse nature of system interfaces and data models. This paper describes an ongoing project to use a central data model with a web services architecture to support the integration and access of linked data across engineering functions for multiple NASA programs. The work involves the implementation of a web service-based middleware system called Data Aggregator to bring together data from a variety of systems to support space exploration. Data Aggregator includes a central data model registry for storing and managing links between the data in disparate systems.Initially developed for NASA's Constellation Program needs, Data Aggregator is currently being repurposed to support the International Space Station Program and new NASA projects with processes that involve significant aggregating and linking of data. This change in user needs led to development of a more streamlined data model registry for Data Aggregator in order to simplify adding new project application data as well as standardization of the Data Aggregator query syntax to facilitate cross-application querying by client applications. This paper documents the approach from a set of stand-alone engineering systems from which data are manually retrieved and integrated, to a web of engineering data systems from which the latest data are automatically retrieved and more quickly and accurately integrated. This paper includes the lessons learned through these efforts, including the design and development of a service-oriented architecture and the evolution of the data model registry approaches as the effort continues to evolve and adapt to support multiple NASA programs and priorities.

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CHRONOS architecture: Experiences with an open-source services-oriented architecture for geoinformatics

Cited by 16 publications

References 1 publication

Cenozoic Planktonic Marine Diatom Diversity and Correlation to Climate Change

Cenozoic Planktonic Marine Diatom Diversity and Correlation to Climate Change

Subsurface-data reasoning framework for natural disasters

Integrating engineering data systems for NASA spaceflight projects

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