“…Besides, it provides a common language for connecting and aggregating data coming from diverse platforms. This was also the main reason why Germany decided to use a DCAT-based Application Profile as their national open data standard, contrary to initial thoughts to use CKAN [31].…”
Section: Other Vocabularies and Metadata Standardsmentioning
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“…Besides, it provides a common language for connecting and aggregating data coming from diverse platforms. This was also the main reason why Germany decided to use a DCAT-based Application Profile as their national open data standard, contrary to initial thoughts to use CKAN [31].…”
Section: Other Vocabularies and Metadata Standardsmentioning
General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal ?
Take down policyIf you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.
“…Similarly dataset contents can be extracted to an ontology for machine understanding of the data . Dataset metadata, including provenance and data quality, will are often represented in a uniform way using standards and well known vocabularies such as DataID [19], Prov-O [20] and DQV [21]. Typically a combination of knowledge extraction from structured sources and information extraction techniques for natural language must be used.…”
Section: Knowledge Interoperability and Managementmentioning
confidence: 99%
“…The W3C data quality vocabulary (DQV) standard [21] will be used to describe datasets quality, whilst data value vocabulary (DaVE) [25] will act as basis for describing the data value metrics and dimensions. The DataID [19] will be used as a metadata specification to describe data assets.…”
Section: A Metamodel For Ai Analytics Ensemblesmentioning
In this position paper we describe a conceptual model for intelligent Big Data analytics based on both semantic and machine learning AI techniques (called AI ensembles). These processes are linked to business outcomes by explicitly modelling data value and using semantic technologies as the underlying mode for communication between the diverse processes and organisations creating AI ensembles. Furthermore, we show how data governance can direct and enhance these ensembles by providing recommendations and insights that to ensure the output generated produces the highest possible value for the organisation.
“…Existing research for these standard vocabularies has provided best practice for publishing data sets' metadata as linked open data (Brummer et al, 2014). The machine readable nature of metadata can make it easy for an automated system to verify the correctness of the data, or perform other operations such as checking of data formats, completeness of metadata and the provenance of data used (Freudenberg et al, 2016). This approach is amenable to extension with domain-specific experimental metadata, such as the machine learning metadata proposed in the MEX vocabulary (Esteves et al, 2015).…”
This paper examines the impact of the EU General Data Protection Regulation, in the context of the requirement from many research funders to provide open access research data, on current practices in Language Technology Research. We analyse the challenges that arise and the opportunities to address many of them through the use of existing open data practices
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