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== Agenda ==
 
== Agenda ==
 
* The session will continue planning the main summit sessions.
 
* The session will continue planning the main summit sessions.
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* Proposal for Summit organization by [[JanetSinger|Janet Singer]]:
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# KG - What (This would be for the overview rather than invited speakers)
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## ’Knowledge Graphs’ provide a new root metaphor and motivating ‘brand’
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### Drive development, investment in integration, interoperation, and organization to realize from AI and semantic technologies, tools, methods etc.
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### Enterprise level, industry level
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## “Knowledge graphs combine existing ideas in a package that works in practice for large organisations” Siemens, from “Next Level AI – Powered by Knowledge Graphs and Data Thinking”
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# KG - How
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## Technologies, Culture and Training
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## Data Thinking
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## Graph-based methods
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## ”Ontological thinking”
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# KG - Why
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## Full cycle value realization from data to business results (general big picture as opposed to use cases)
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## How evaluate, quality management, ensure efficacy
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# KG - Who, Where, When
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## Use case specifics
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# KG - ’Whence’
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## KG’s in historic perspective
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### Dave McComb
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### Claudio Gutierrez and Juan F. Sequeda http://knowledgegraph.today/paper.html
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# KG - ’Whither’
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## Standards,  OKN
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## Research Challenges
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## “Knowledge“ as open, loose, fuzzy, emergent
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## Analogies, metaphors
  
 
== Conference Call Information ==
 
== Conference Call Information ==

Revision as of 11:59, 11 December 2019

[ ]
    (1)
Session Planning
Duration 1 hour
Date/Time December 11 2019 17:00 GMT
9:00am PST/12:00pm EST
5:00pm GMT/6:00pm CET
Convener Ken Baclawski

Contents

Agenda     (2A)

  1. KG - What (This would be for the overview rather than invited speakers)     (2A3)
    1. ’Knowledge Graphs’ provide a new root metaphor and motivating ‘brand’     (2A3A)
      1. Drive development, investment in integration, interoperation, and organization to realize from AI and semantic technologies, tools, methods etc.     (2A3A1)
      2. Enterprise level, industry level     (2A3A2)
    2. “Knowledge graphs combine existing ideas in a package that works in practice for large organisations” Siemens, from “Next Level AI – Powered by Knowledge Graphs and Data Thinking”     (2A3B)
  2. KG - How     (2A4)
    1. Technologies, Culture and Training     (2A4A)
    2. Data Thinking     (2A4B)
    3. Graph-based methods     (2A4C)
    4. ”Ontological thinking”     (2A4D)
  3. KG - Why     (2A5)
    1. Full cycle value realization from data to business results (general big picture as opposed to use cases)     (2A5A)
    2. How evaluate, quality management, ensure efficacy     (2A5B)
  4. KG - Who, Where, When     (2A6)
    1. Use case specifics     (2A6A)
  5. KG - ’Whence’     (2A7)
    1. KG’s in historic perspective     (2A7A)
      1. Dave McComb     (2A7A1)
      2. Claudio Gutierrez and Juan F. Sequeda http://knowledgegraph.today/paper.html     (2A7A2)
  6. KG - ’Whither’     (2A8)
    1. Standards, OKN     (2A8A)
    2. Research Challenges     (2A8B)
    3. “Knowledge“ as open, loose, fuzzy, emergent     (2A8C)
    4. Analogies, metaphors     (2A8D)

Conference Call Information     (2B)

Participants     (2C)

Proceedings     (2D)

Resources     (2E)

Previous Meetings     (2F)


Next Meetings     (2G)