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The mission of the ISWG is to define a decentralized key management infrastructure (Inputs domain) and data capture architecture (Semantic domain) for Internet-scale deployment. The scope of the ISWG is to define specifications and best practices that bring cohesion to data entry (aka Inputs) and data capture (aka Semantic) processes and standards throughout the ToIP stack whether these standards are hosted at the Linux Foundation or external to it. Other working group activities will include creating template Requests for Proposal (RFPs) and additional guidance to utility and service providers regarding implementations in that capacity. This WG will be divided into Inputs and Semantic domain groups and may also organise Task Forces and Focus Groups 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.

How to join

You can join the ISWG by signing up for the Foundation mailing list at lists.trustoverip.org. Our mailing list is inputs-and-semantics-wg@lists.trustoverip.org 

Members as well as observers are welcome (with the important caveat below).

Participation

For the protection of all Members, participation in working groups, meetings and events is limited to members, including their employees, of the Trust over IP Foundation who have signed the membership documents and thus agreed to the intellectual property rules governing participation. If you or your employer are not a member, we ask that you not participate in meetings by verbal contribution or otherwise take any action beyond observing.

Inputs Group

Inputs domain [active] / what is put in, taken in, or operated on by any process or system

Figure 22a. A component diagram highlighting the Inputs domain within a balanced network model.

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Core Inputs Concepts

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Key management refers to the management of cryptographic keys in a cryptosystem. This includes dealing with the generation, exchange, storage, use, crypto-shredding (destruction) and replacement of keys. It includes cryptographic protocol design, key servers, user procedures, and other relevant protocols.

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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 2b. A component diagram highlighting the Semantic domain within a balanced network model.

Data capture is defined as the process of collecting data electronically, allowing it to be stored, searched, or organized more efficiently. In a decentralized network, data capture requires the provision of immutable fields in order to capture and store collected data. In the above component diagram, all elements and characteristics of data capture are depicted in the southern hemispherical Semantic domain.

Mission and Scope of the Semantics Group

The mission of the Semantics group (ISWG-S) is to define a data capture architecture consisting of immutable schema bases and interoperable overlays for Internet-scale deployment. The scope of this sub-group 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 sub-group activities will include creating template Requests for Proposal (RFPs) and additional guidance to utility and service providers regarding implementations in this domain. The sub-group may also organise Task Forces and Focus Groups to escalate the development of certain components if deemed appropriate by the majority of the sub-group members and in line with the overall mission of the ToIP Foundation.

Chairs / Leads of the Semantics Group

Core Semantic Concepts

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.

Overlays Capture Architecture (OCA)

(Presentation and live demo / Tools tutorial / .CSV parsing tutorial)

OCA is an architecture that presents a schema as a multi-dimensional object consisting of a stable schema base and interoperable overlays. Overlays are task-oriented linked data objects that provide additional extensions, coloration, and functionality to the schema base. This degree of object separation enables issuers to make custom edits to the overlays rather than to the schema base itself. In other words, multiple parties can interact with and contribute to the schema structure without having to change the schema base definition. With schema base definitions remaining stable and in their purest form, a common immutable base object is maintained throughout the capture process which enables data standardization.

OCA harmonizes data semantics. It is a global solution to semantic harmonization between data models and data representation formats. As a standardized global solution for data capture, OCA facilitates data language unification, promising to significantly enhance the ability to pool data more effectively for improved data science, statistics, analytics and other meaningful services.

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OCA resources:

Deliverables of the Semantics Group

  • Technical specifications for all core components required within the Semantic domain as defined by the Mission and Scope.
  • Also check out the ToIP Deliverables document for high-level deliverables of the Trust over IP Foundation.