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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)
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Meetings
Schedule:
US/EU: meetings take place bi-weekly, every other Tuesday from (TBC)
APAC: TBC
See the Meeting Page for Agendas, notes and recordings from all meetings.
Deliverables
- Technical specifications for all core components required within the Semantic domain
Chairs / Leads
Mailing List
semantic-domain-wg@lists.trustoverip.org (subscribe by going to lists.trustoverip.org)
Meetings
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
Deliverables
- Technical specifications for all core components required within the Semantic domain as defined by the Mission and Scope statement above.
- Also check out the ToIP Deliverables document for high-level deliverables of the Trust over IP Foundation.
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