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== Purpose ==
 
== 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.
 
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.
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== Communiqué ==
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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 =
 
= Process and Deliverables =

Latest revision as of 17:26, 15 December 2020

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Contents

[edit] Ontology Summit 2020: Knowledge Graphs     (1)

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.     (1A)

[edit] Description     (2)

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.     (2A)

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.     (2B)

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:     (2D)

  • What: Overview and background for the summit sessions. All sessions will be explicitly or implicitly addressing this theme.     (2E)
    • KGs are a vehicle for realizing the benefits of ontology engineering.     (2E1)
    • KGs combine existing ideas in a package that frequently works in practice to deliver value for large organizations.     (2E2)
    • KGs provide a new root metaphor and motivation that is driving interest in ontology engineering.     (2E3)
    • This is driving investment in development, integration, interoperation and organization by large entities, both individual enterprises and entire industries.     (2E4)
    • KGs can be an enabler for tools and methods from AI and semantic technologies.     (2E5)
  • Whence     (2F)
  • Who, Where, When     (2G)
    • Use case specifics for individual enterprises and industries     (2G1)
    • General big picture of KGs, as opposed to use cases     (2H1)
    • The full cycle realization from data to business results     (2H2)
    • Evaluation and management of quality and efficiency     (2H3)
    • Vendors are developing technologies based on graph-based methods.     (2I1)
    • A wide-spread graph-based culture is emerging, including conferences and training.     (2I2)
    • The culture includes aspects such as `data thinking' and `ontological thinking'.     (2I3)
    • Promotion of dialog to promote mutual understanding     (2I4)
  • Whither     (2J)

[edit] Purpose     (2K)

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.     (2K1)

[edit] Communiqué     (2L)

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     (2L1)

[edit] Process and Deliverables     (3)

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.     (3A)

Meetings are at Noon US Eastern Time on Wednesdays.     (3B)

[edit] Schedule     (4)

    (4A)
  Track Session
ConferenceCall 2020 01 29 Introduction and Overview
ConferenceCall 2020 02 05 Whence Chaitanya Baru
ConferenceCall 2020 02 12 Whence John Sowa
ConferenceCall 2020 02 19 Why Matthew West
ConferenceCall 2020 02 26 How Anirudh Prabhu
ConferenceCall 2020 03 04 How Paco Nathan
ConferenceCall 2020 03 11 How Sargur Srihari
ConferenceCall 2020 03 18 How Spencer Breiner
ConferenceCall 2020 03 25 Synthesis I
ConferenceCall 2020 04 01 Synthesis II
ConferenceCall 2020 04 08 Use Cases Binil Starly
ConferenceCall 2020 04 15 Use Cases Michael Uschold
ConferenceCall 2020 04 22 Use Cases Sean Gordon
ConferenceCall 2020 04 29 How Krzysztof Janowicz
ConferenceCall 2020 05 06 Why Ernest Davis
ConferenceCall 2020 05 13 What Standards for Knowledge Graphs
ConferenceCall 2020 05 20 Whither Vinay K. Chaudhri
ConferenceCall 2020 05 27 Use Cases Yolanda Gil
ConferenceCall 2020 06 03 What Standards for Knowledge Graphs
ConferenceCall 2020 06 10 Synthesis III
ConferenceCall 2020 06 17 Communiqué
ConferenceCall 2020 06 22 Communiqué
ConferenceCall 2020 06 23 Communiqué
ConferenceCall 2020 06 24 Communiqué
ConferenceCall 2020 07 01 Communiqué
ConferenceCall 2020 09 23 Topic Discussion
ConferenceCall 2020 09 30 Topic Discussion
ConferenceCall 2020 10 07 Topic Discussion
ConferenceCall 2020 10 14 Topic Discussion
ConferenceCall 2020 10 21 Communique Editing
ConferenceCall 2020 10 28 Topic Discussion
ConferenceCall 2020 11 04 Communiqué Discussion
ConferenceCall 2020 11 18 Communiqué Discussion

[edit] Resources     (5)

[edit] Main Sessions     (5A)

  • 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     (5A8A)

[edit] Metaphor Mini-Series     (5B)

[edit] Fall Series     (5C)

[edit] Summit Planning Sessions     (5D)


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