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Introduction

The Semantic Domain Working Group 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.

The diagram depicts these elements and characteristics as 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.

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Archived

The Inputs and Semantics Working Group is no longer being actively updated as of Sep 1, 2022. This WG will remain as an archive for the documents, meeting minutes, etc.

The replacement - for Data topics for Trust Over IP - is the Data Modelling and Representation Working Group (DMRWG)  (TODO needs link)

This is also true of the following Task Forces (as captured under the I&SWG) and their existing meeting schedules 

  • Privacy & Risk TF
    • Future Topics to be split between the Governance Stack WG (GSWG) and DMRWG 
  • Storage & Portability TF
    • Future Topics to be split between the Governance Stack WG (GSWG) and DMRWG
  • Notice & Consent TF
    • Future Topics to be split between the Governance Stack WG (GSWG) and DMRWG

Introduction

The Inputs and Semantics Working Group (ISWG) supports a practical approach to further enable the adoption of the Trust over IP dual-stack architecture by bringing a balanced view of decentralized network paradigms to the overall mission of Internet-scale digital trust. All data inputs operated on by any process or system must be authentic with deterministic semantic objects providing meaning and context at the time of capture.

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Figure 1. 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 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  The scope of the WG the ISWG is to define specifications and best practices that bring cohesion to data entry (aka Inputs) and data capture (aka Semantic) processes and other Semantic standards  throughout throughout the ToIP stack , whether these standards are hosted at the Linux Foundation or external to it. Other WG working group 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 that capacity. This WG will be divided into Inputs and Semantic domain groups and will organize 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.

Meetings

Schedule:

The ISWG-I meets weekly on a Wednesday from 09:00-10:00 US PT /

...

APAC: TBC

See the Meeting Page for Agendas, notes and recordings from all meetings.

17:00-18:00 UTC

The ISWG-S meets weekly on a Tuesday from 09:00-10:00 US PT / 17:00-18:00 UTC

Deliverables

  • Technical specifications for all core components required within the Semantic domainas defined by the ISWG Scope statement.
  • Also, check out the ToIP Deliverables document for high-level deliverables of the Trust over IP Foundation.

Chairs / Leads 

How to join

You can join this WG the ISWG by signing up for the Foundation mailing list at lists.trustoverip.org. Our mailing list is semantic-domainis 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 of ToIP, we ask that you may not participate in meetings by verbal contribution or otherwise take any action beyond observing.

Core concepts

Context

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 schema bases contain a "blinding_attr" flagging block to enable schema issuers to flag attributes that could potentially unblind the identity of a governing entity.

OCA schema bases contain a "classification" meta attribute to enable industry sector tagging for the purposes of categorization.

OCA resources:

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.

Functionality requirements 

  • Including desired capabilities that a fully interoperable data capture architecture should offer 

...

  To join ToIP and be able to contribute, please fill out the light weight membership application on our website here. 

CLICK THIS LINK TO ACTIVELY PARTICIPATE IN THIS WORKING GROUP

Intellectual Property Rights (Copyright, Patent, Source Code)

The WG inherits the IPR terms from the JDF Charter. These include: