Design and implementation of an archetype based interoperable knowledge eco-system for data buoys

Stacey, Paul; Berry, Damon

doi:10.1109/oceanse.2017.8084936

Cited by 2 publications

(5 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To further evaluate the applicability of this approach for individual use cases the authors propose that several pilot studies should be undertaken using the SensorThings API archetype model as the basis for concept definition and system implementation. Previous ocean observing use-cases [18] [19] undertaken by the authors can act as a reference for IoT pilot studies using this approach. These examples have shown how the two-level modeling approach can allow managed extensibility for individual use-cases using archetype models developed on top of an augmented O&M reference model.…”

Section: Discussionmentioning

confidence: 99%

Extending Two-level Information Modeling to the Internet of Things

Stacey

Berry

2019

2019 IEEE 5th World Forum on Internet of Things (WF-IoT)

Self Cite

View full text Add to dashboard Cite

Interoperability is a major challenge for the Internet of Things (IoT). The real potential of the IoT lies in facilitating largescale sharing of high-quality context-rich information through systems-of-IoT-systems, rather than IoT systems that operate as isolated technology silos. Real large-scale interoperability requires layers of standards, and each layer addresses different interoperability challenges. The SensorThings API data model seeks to tackle data interoperability at the data and informational layers of IoT platforms. SensorThings API is aligned to the ISO/OGC O&M data standard, and like O&M it is semistructured. Semi-structured models allow for variance within implementations for different use-cases, which is both necessary and detrimental to systems interoperability. In this paper we propose that the SensorThings API data model should be defined as a set of archetypes, used to capture extensible domain concepts using a two-level modeling IoT systems design approach. Extending two-level modeling to the IoT using the SensorThings API as a base for domain concepts definition allows for a powerful framework to manage variance within systems implementation and maintaining semantic interoperability within systems-of-IoT-systems across diverse use-cases.

show abstract

Section: Discussionmentioning

confidence: 99%

Extending Two-level Information Modeling to the Internet of Things

Stacey

Berry

2019

2019 IEEE 5th World Forum on Internet of Things (WF-IoT)

Self Cite

View full text Add to dashboard Cite

show abstract

“…Experimental time spin-up was of the order of 60:1, meaning the 60 day period of data was re-run over a 24 hour period. The data was reported using the operational-templates-as-a-service (OPTaaS) and Linked Data knowledge graph method described in [14] (Fig 4). Data assimilation was again performed using the OpenDA toolbox, with experimental real-time assimilation of the reporting test rig system performed.…”

Section: Tools and Methodsmentioning

confidence: 99%

“…This pre-registration ID is then used by the platform to register fully on the backend system when the platform is live. Platforms register by calling the following URL and passing their unique pre-registrationID: http://mistbits.ie:8080/OPTaaSDev/register/{pre-red-ID} The OPTaaS backend system then builds a constrained micro context which acts as a micro template for the platform to create information instances (see [14] for more details). When observational platforms need to report new observations they use the OPTaaS observations append Web service.…”

Section: Archetype Modeling and Mappingmentioning

confidence: 99%

“…Recently the authors have shown how two-level informational modeling techniques may be translated to geo-observational scenarios [14] [15]. The attributes of a two-level based system of the type described in [14] are highly desirable within the ocean observing community. The promises of a two-level modeling systems design approach are in keeping with the aims of ODIP, GEOSS [16] and other ocean data interoperability initiatives.…”

Section: Introductionmentioning

confidence: 99%

“…In [15] the authors propose a novel technique to enable archetypes, and consequently a two-level modeling approach within technologically constrained ocean observing platforms. In [14] a rudimentary technical validation of the approach is described. While the preliminary study has served to highlight the potential of two-level modeling for achieving interoperable ocean observations, additional robust use-case based evaluations are needed; considering the peculiarities of the current state-of-the-art ocean data sharing frameworks and spatial data infrastructures (SDI).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Interoperable Ocean Observing using Archetypes: A use-case based evaluation

Stacey¹,

Berry²

2018

OCEANS 2018 MTS/IEEE Charleston

Self Cite

View full text Add to dashboard Cite

This paper presents a use-case based evaluation of the impact of two-level modeling on the automatic federation of ocean observational data. The goal of the work is to increase the interoperability and data quality of aggregated ocean observations to support convenient discovery and consumption by applications. An assessment of the interoperability of served data flows from publicly available ocean observing spatial data infrastructures was performed. Barriers to consumption of existing standardscompliant ocean-observing data streams were examined, including the impact of adherence to agreed data standards. Historical data flows were mapped to a set of archetypes and a backward integration experiment was performed to assess the incremental benefit of using two level models to federate data streams. The outcome of the evaluation demonstrates the feasibility of building a two-level model based ocean observing system using a combination of existing open source components, the adaptation of existing standards and the development of new software tools. The automatic integration of data flows becomes possible. This technique also allows real-time applications to automatically discover and federate newly discovered data flows and observations.

show abstract

Design and implementation of an archetype based interoperable knowledge eco-system for data buoys

Cited by 2 publications

References 23 publications

Extending Two-level Information Modeling to the Internet of Things

Extending Two-level Information Modeling to the Internet of Things

Interoperable Ocean Observing using Archetypes: A use-case based evaluation

Contact Info

Product

Resources

About