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OntologySummit2020

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Ontology Summit 2020: Knowledge Graphs


The Ontology Summit is an annual series of events that involves the ontology community and communities related to each year's theme chosen for the summit. The Ontology Summit was started by Ontolog and NIST, and the program has been co-organized by Ontolog, NIST, NCOR, NCBO, IAOA, NCO_NITRD along with the co-sponsorship of other organizations that are supportive of the Summit goals and objectives.

Description

Knowledge graphs, closely related to ontologies and semantic networks, have emerged in the last few years to be an important semantic technology and research area. As structured representations of semantic knowledge that are stored in a graph, KGs are lightweight versions of semantic networks that scale to massive datasets such as the entire World Wide Web. Industry has devoted a great deal of effort to the development of knowledge graphs, and they are now critical to the functions of intelligent virtual assistants such as Siri and Alexa. Some of the research communities where KGs are relevant are Ontologies, Big Data, Linked Data, Open Knowledge Network, Artificial Intelligence, Deep Learning, and many others.

The Summit will begin with an introductory series in the Fall of 2019, followed by the main series in 2020 and culminating in a symposium in June 2020. Each session will last one hour and will be in two parts of roughly equal length: a speaker presentation and a discussion session. Participants at the session will not only be able to ask questions but will also have an opportunity to contribute to the topic.

https://ontologforum.s3.amazonaws.com/OntologySummit2020/Introduction/OntologySummit2020-Logo.jpg

The theme of the Summit is to examine KGs from a number of points of view ranging from low-level representation and storage techniques to high-level semantics, and from the vendors to the end users. The sessions are organized by the following question words:

  • What: Overview and background for the summit sessions. All sessions will be explicitly or implicitly addressing this theme.
    • KGs are a vehicle for realizing the benefits of ontology engineering.
    • KGs combine existing ideas in a package that frequently works in practice to deliver value for large organizations.
    • KGs provide a new root metaphor and motivation that is driving interest in ontology engineering.
    • This is driving investment in development, integration, interoperation and organization by large entities, both individual enterprises and entire industries.
    • KGs can be an enabler for tools and methods from AI and semantic technologies.
  • Whence
    • The historical perspective
    • Knowledge as open, loose, fuzzy, emergent
    • Analogies and metaphors
  • Who, Where, When
    • Use case specifics for individual enterprises and industries
  • Why
    • General big picture of KGs, as opposed to use cases
    • The full cycle realization from data to business results
    • Evaluation and management of quality and efficiency
  • How
    • Vendors are developing technologies based on graph-based methods.
    • A wide-spread graph-based culture is emerging, including conferences and training.
    • The culture includes aspects such as `data thinking' and `ontological thinking'.
    • Promotion of dialog to promote mutual understanding
  • Whither
    • Emerging standards
    • Research challenges
    • Speculation about future directions

Purpose

As part of Ontolog’s general advocacy to bring ontology science and engineering into the mainstream, we endeavor to abstract a conversational toolkit from the sessions that may facilitate discussion and knowledge sharing amongst stakeholders relevant to the topic. Our findings will be supported with examples from the various domains of interest. The results will be captured in the form of a 2020 Summit Communiqué, with expanded supporting material provided on the web.

Communiqué

The Communiqué will be submitted for publication. Until it is published, it is available at https://bit.ly/34fFVOi or at https://ontologforum.s3.amazonaws.com/OntologySummit2020/Communique/OntologySummit2020Communique.pdf

Process and Deliverables

Similar to our last fourteen summits, this Ontology Summit will consist of virtual discourse (over our archived mailing lists), virtual presentations and panel sessions at recorded video conference calls.

Meetings are at Noon US Eastern Time on Wednesdays.

  • The Video Conference URL is https://zoom.us/j/689971575
    • iPhone one-tap :
      • US: +16699006833,,689971575# or +16465588665,,689971575#
    • Telephone:
      • Dial(for higher quality, dial a number based on your current location): US: +1 669 900 6833 or +1 646 558 8665
      • Meeting ID: 689 971 575
      • International numbers available: https://zoom.us/u/Iuuiouo
  • Chat Room: http://bit.ly/2LkAbKj
    • If the chat room is not available, then use the Zoom chat room.

Schedule

{{#ask: [[has date::>28 Jan 2020]] |?Track|?Session|format=broadtable}}

Resources

Main Sessions

17 June 2020

10 June 2020

3 June 2020

27 May 2020

20 May 2020

13 May 2020

06 May 2020

29 April 2020

  • Krzysztof Janowicz KnowWhereGraph: Enriching and Linking Cross-Domain Knowledge Graphs using Spatially-Explicit AI Technologies to Address Pressing Challenges at the Human-Environment Nexus Slides Video Recording YouTube Video

22 April 2020

15 April 2020

08 April 2020

01 April 2020

25 March 2020

18 March 2020

11 March 2020

04 March 2020

  • Paco Nathan Rich Context: Rich Search and Discovery for Scholarly Databases Slides

26 February 2020

19 February 2020

12 February 2020

5 February 2020

29 January 2020

Metaphor Mini-Series

6 November 2019

13 November 2019

20 November 2019

Fall Series

4 September 2019

11 September 2019

18 September 2019

25 September 2019

2 October 2019

16 October 2019

23 October 2019

30 October 2019

Summit Planning Sessions

24 July 2019

31 July 2019

14 August 2019

21 August 2019

28 August 2019


Ontology Summit YouTube Channel