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The Semantic Domain Working Group ...
Semantic domain [passive] / the meaning and use of what is put in, taken in, or operated on by any process or system.
Figure. A component diagram showing the inputs and semantic counterparts of a balanced network model.
Data capture is defined as defines the data entry and data capture elements within a decentralized digital network so that inputs from assured sources can always be trusted and the meaning of data elements is maintained throughout every exchange.
Data capture, specifically, is the process of collecting data electronically, allowing it to be stored, searched, or organised more efficiently. In a decentralised network, data capture requires the provision of immutable fields in order to capture and store collected data. In the above component diagram, all
The diagram depicts these elements and characteristics of data capture are depicted in the southern hemispherical Semantic domainas the (lower) Semantic domain:
Semantic domain [passive] / the meaning and use of what is put in, taken in, or operated on by any process or system.
Figure. A component diagram showing the inputs and semantic counterparts of a balanced network model.
Scope
Define a data capture architecture consisting of immutable schema bases and interoperable overlays for Internet-scale deployment. The scope of the WG is to define specifications and best practices that bring cohesion to data capture processes and other Semantic standards throughout the ToIP stack, whether these standards are hosted at the Linux Foundation or external to it. Other WG activities will include creating template Requests for Proposal (RFPs) and additional guidance to utility and service providers regarding implementations in this domain. This WG may also organise Task Forces to escalate the development of certain components if deemed appropriate by the majority of the WG members and in line with the overall mission of the ToIP Foundation.
Conveners
- Paul Knowles (Human Colossus Foundation)
- Robert Mitwicki (Human Colossus Foundation)
Chairs
Mailing List
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This WG currently meets weekly on Tuesdays. See the Meeting Page for the meeting schedule, agenda, and meeting notes. For a calendar invite with complete Zoom information, please send email to the mailing list above.
Description
The post millennial generation has witnessed an explosion of captured data points which has sparked profound possibilities in both Artificial Intelligence (AI) and Internet of Things (IoT) solutions. This has spawned the collective realization that society’s current technological infrastructure is simply not equipped to fully support de-identification or to entice corporations to break down internal data silos, streamline data harmonization processes and ultimately resolve worldwide data duplication and storage resource issues. Developing and deploying the right data capture architecture will improve the quality of externally pooled data for future AI and IoT solutions.
Core components
Overlays Capture Architecture (OCA)
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Blinding Identity Taxonomy (BIT)
BIT is a defensive tool created for the purpose of reducing the risk of identifying governing entities within blinded datasets. BIT contains a list of elements to be referred to by schema issuers for flagging attributes which may contain identifying information about governing entities. Once attributes have been flagged, any marked data can be removed or encrypted during the data lifecycle.
- BIT in PDF format: https://docs.kantarainitiative.org/Blinding-Identity-Taxonomy-Report-Version-1.0.pdf
- BIT in HTML format: https://docs.kantarainitiative.org/Blinding-Identity-Taxonomy-Report-Version-1.0.html
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