Semantic mediation of observation datasets through Sensor Observation Services

Regueiro, Manuel A.; Viqueira, José Ramón Ríos; Stasch, Christoph; Taboada, José Antonio Franco

doi:10.1016/j.future.2016.08.013

Cited by 20 publications

(14 citation statements)

References 20 publications

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“…The emergence of several ontologies related to data collection (e.g. [47]) has led to recent research activity on semantic mediation of observation ontologies for the SOS [48] and Observation & Measurement standards [49].…”

Section: Observationmentioning

confidence: 99%

Why good data analysts need to be critical synthesists. Determining the role of semantics in data analysis

Scheider¹,

Ostermann²,

Adams

2017

Future Generation Computer Systems

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In this article, we critically examine the role of semantic technology in data driven analysis. We explain why learning from data is more than just analyzing data, including also a number of essential synthetic parts that suggest a revision of George Box's model of data analysis in statistics. We review arguments from statistical learning under uncertainty, workflow reproducibility, as well as from philosophy of science, and propose an alternative, synthetic learning model that takes into account semantic conflicts, observation, biased model and data selection, as well as interpretation into background knowledge. The model highlights and clarifies the different roles that semantic technology may have in fostering reproduction and reuse of data analysis across communities of practice under the conditions of informational uncertainty. We also investigate the role of semantic technology in current analysis and workflow tools, compare it with the requirements of our model, and conclude with a roadmap of 8 challenging research problems which currently seem largely unaddressed.

show abstract

Section: Observationmentioning

confidence: 99%

Why good data analysts need to be critical synthesists. Determining the role of semantics in data analysis

Scheider¹,

Ostermann²,

Adams

2017

Future Generation Computer Systems

View full text Add to dashboard Cite

show abstract

“…), and b) the existing methodologies (e.g. Mediator/Wrapper architecture (Regueiro et al, 2017)) which support the integration of SOS-disseminated data into scientific workflows.…”

Section: Discussionmentioning

confidence: 99%

“…This may enable having a single endpoint to submit queries to these heterogeneous datasets (Beran & Piasecki, 2009), providing seamless, frictionless access. In the environmental domain this process is described with many concepts: the terms mediation (Regueiro et al, 2017), translation (Shu et al, 2015) and integration (Leinfelder et al, 2010;Beran & Piasecki, 2009) are synonyms and have been used interchangeably. In the environmental data science literature we discern three approaches towards semantic interoperability, which: a. built-upon and leverage on approaches which are used to support syntactic interoperability, e.g.…”

Section: Background and Related Workmentioning

confidence: 99%

“…Henson et al (2009) designed a semantic extension for the OGC SOS in order to submit high-level queries to raw data. Regueiro et al (2017) use control vocabularies/ontologies to align different semantics found in distinct data sources. They demonstrate their efforts to construct a semantic mediation version tailored for the OGC SOS needs.…”

Section: Background and Related Workmentioning

confidence: 99%

“…Ontology mediation refers to the process of describing different datasets through one ontology in order a common context to be created and values to be reused (Regueiro et al, 2017). It is used to integrate diverse datasets which each of them is described by a different ontology, in order to become interoperable and reusable (Wilkinson et al, 2016;Shu et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

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Semantic mediation of observation datasets through Sensor Observation Services

Cited by 20 publications

References 20 publications

Why good data analysts need to be critical synthesists. Determining the role of semantics in data analysis

Why good data analysts need to be critical synthesists. Determining the role of semantics in data analysis

Environmental timeseries lifecycle in the Internet of Things era : Lowering e-science barriers

TAQE: A Data Modeling Framework for Traffic and Air Quality Applications in Smart Cities

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