StatSpace: A Unified Platform for Statistical Data Exploration

Do, Ba-Lam; Wetz, Peter; Kiesling, Elmar; Aryan, Peb Ruswono; Trinh, Tuan-Dat; Tjoa, A. Min

doi:10.1007/978-3-319-48472-3_50

Cited by 2 publications

(1 citation statement)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These suggest reusing existing parts of vocabularies instead of creating identical classes and properties or importing them into another IRI namespace. Nevertheless, the fact remains that some datasets might be using GoodRelations 44 and other datasets might be using Schema.org 45 for, e.g., the specification of opening hours of a point of sales. This is a perfect opportunity for a transformation script or component which would transform data mod- Another often required kind of data manipulation is inference.…”

Section: Requirement 19 (Transformations Based On Vocabularies) Provimentioning

confidence: 99%

Survey of tools for Linked Data consumption

Klímek

Škoda

Nečaský

2019

View full text Add to dashboard Cite

There is lots of data published as Linked (Open) Data (LOD/LD). At the same time, there is also a multitude of tools for publication of LD. However, potential LD consumers still have difficulty discovering, accessing and exploiting LD. This is because compared to consumption of traditional data formats such as XML and CSV files, there is a distinct lack of tools for consumption of LD. The promoters of LD use the well-known 5-star Open Data deployment scheme to suggest that consumption of LD is a better experience once the consumer knows RDF and related technologies. This suggestion, however, falls short when the consumers search for an appropriate tooling support for LD consumption. In this paper we define a LD consumption process. Based on this process and current literature, we define a set of 34 requirements a hypothetical Linked Data Consumption Platform (LDCP) should ideally fulfill. We cover those requirements with a set of 94 evaluation criteria. We survey 110 tools identified as potential candidates for an LDCP, eliminating them in 3 rounds until 16 candidates for remain. We evaluate the 16 candidates using our 94 criteria. Based on this evaluation we show which parts of the LD consumption process are covered by the 16 candidates. Finally, we identify 8 tools which satisfy our requirements on being a LDCP. We also show that there are important LD consumption steps which are not sufficiently covered by existing tools. The authors of LDCP implementations may use this survey to decide about directions of future development of their tools. LD experts may use it to see the level of support of the state of the art technologies in existing tools. Non-LD experts may use it to choose a tool which supports their LD processing needs without requiring them to have expert knowledge of the technologies. The paper can also be used as an introductory text to LD consumption.

show abstract

Section: Requirement 19 (Transformations Based On Vocabularies) Provimentioning

confidence: 99%

Survey of tools for Linked Data consumption

Klímek

Škoda

Nečaský

2019

View full text Add to dashboard Cite

show abstract

Privacy-aware Linked Widgets

Fernández

Ekaputra

Aryan

et al. 2019

Companion Proceedings of the 2019 World Wide Web Conference

Self Cite

View full text Add to dashboard Cite

The European General Data Protection Regulation (GDPR) brings new challenges for companies, who must demonstrate that their systems and business processes comply with usage constraints specified by data subjects. However, due to the lack of standards, tools, and best practices, many organizations struggle to adapt their infrastructure and processes to ensure and demonstrate that all data processing is in compliance with users' given consent. The SPECIAL EU H2020 project has developed vocabularies that can formally describe data subjects' given consent as well as methods that use this description to automatically determine whether processing of the data according to a given policy is compliant with the given consent. Whereas this makes it possible to determine whether processing was compliant or not, integration of the approach into existing line of business applications and ex-ante compliance checking remains an open challenge. In this short paper, we demonstrate how the SPECIAL consent and compliance framework can be integrated into Linked Widgets, a mashup platform, in order to support privacy-aware ad-hoc integration of personal data. The resulting environment makes it possible to create data integration and processing workflows out of components that inherently respect usage policies of the data that is being processed and are able to demonstrate compliance. We provide an overview of the necessary meta data and orchestration towards a privacy-aware linked data mashup platform that automatically respects subjects' given consents. The evaluation results show the potential of our approach for ex-ante usage policy compliance checking within the Linked Widgets Platforms and beyond. CCS CONCEPTS • Security and privacy → Information accountability and usage control; Privacy protections.

show abstract

StatSpace: A Unified Platform for Statistical Data Exploration

Cited by 2 publications

References 14 publications

Survey of tools for Linked Data consumption

Survey of tools for Linked Data consumption

Privacy-aware Linked Widgets

Contact Info

Product

Resources

About