Ontolog Forum
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.
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
- iPhone one-tap :
- Chat Room: http://bit.ly/2LkAbKj
- If the chat room is not available, then use the Zoom chat room.
Schedule
Resources
Main Sessions
17 June 2020
- Gary Berg-Cross Notes from the Knowledge Graph Seminar Slides in pdf format Slides in docx format
- Ravi Sharma Knowledge Graphs Slides
10 June 2020
- Overview by Ken Baclawski Slides
- Video Recording YouTube Video
3 June 2020
- Ken Baclawski -- Brief Introduction Slides
- Lisa Carnahan, NIST -- The IT Standards Process Slides
- Barry Smith, University of Buffalo slides
- Michael Grüninger, University of Toronto Slides
- Video Recording
- YouTube Video
27 May 2020
- Yolanda Gil Seven Ontologies for Publishing the Scientific Record on the Web Slides Video Recording YouTube Video
20 May 2020
- Vinay K. Chaudhri Textbook Open Knowledge Network TOKN Executive Summary Video Recording YouTube Video
13 May 2020
- Ram D. Sriram, NIST -- Brief Introduction Slides
- John Sowa, Fellow Kyndi Inc -- Knowledge Graphs & Logic Slides
- Elisa Kendall, Thematix -- OMG Efforts Toward Developing Standards for KGs Slides
- Mike Bennett, Hypercube Ltd (UK) -- Standards for KGs in the Financial Sector Slides
- Andreas Blumauer, Semantic Web Company (Austria & US) -- The Semantic Web and Standards for KGs Slides
- Video Recording
- YouTube Video
06 May 2020
- Ernest Davis Time and Space in Knowledge Graphs Slides Video Recording YouTube Video
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
- Sean Gordon Prototyping an Open Knowledge Network for Spatial Decision Support Slides Video Recording YouTube Video
15 April 2020
- Michael Uschold Knowledge Graphs in Industry: Examples and Lessons Learned Slides Video Recording YouTube Video
08 April 2020
- Professor Binil Starly Building an Open Knowledge Network (OKN) Graph in Product Design & Manufacturing Slides Video Recording YouTube Video
- A visualization of similar looking 3D models - just a subset of 10K parts from 110K
- A visualization of linking 9000 companies out of 22K companies
- A prototype that we have now (this will be much better looking next month), but for now it is functional for users to test out
- ABC Dataset for download
- FabWave Categorized Dataset: (download from ResearchGate)
01 April 2020
- Second Synthesis Session Synthesis I Summary Slides by Ken Baclawski What is a Knowledge Graph? by Ravi Sharma Video Recording YouTube Video
25 March 2020
- First Synthesis Session Video Recording YouTube Video
18 March 2020
- Spencer Breiner Composing knowledge graphs: inside and out Slides Video Recording YouTube Video
11 March 2020
- Hari Srihari Probabilistic Knowledge Graphs Video Recording YouTube Video
04 March 2020
- Paco Nathan Rich Context: Rich Search and Discovery for Scholarly Databases Slides
26 February 2020
- Anirudh Prabhu Insights from Knowledge Graphs Slides in pptx format Video Recording YouTube Video
19 February 2020
- Matthew West From Data to Business Value Presentation Slides Video Recording YouTube Video
12 February 2020
- John Sowa Knowledge Graphs for Language, Logic, Data, Reasoning Slides Video Recording YouTube Video
5 February 2020
- Chaitanya Baru "The NSF Convergence Accelerator Pilot: Track A – Open Knowledge Network" Slides in pptx format Slides in pdf format Video recording
29 January 2020
- Introduction and Overview by the Organizing Committee Slides Video Recording YouTube Video
Metaphor Mini-Series
6 November 2019
- Elise Stickles "MetaNet: Deep semantic automatic metaphor analysis" Slides in pdf format Slides in pptx format Video Recording YouTube Video
13 November 2019
- Continue the discussion of "Deep semantic automatic metaphor analysis" by Elise Stickles. Video Recording YouTube Video
20 November 2019
- Continue the discussion of "Deep semantic automatic metaphor analysis" by Elise Stickles. Video Recording YouTube Video
Fall Series
4 September 2019
- Welcome and Introductory Remarks by Ken Baclawski Slides
- Jans Aasman "Why Knowledge Graphs Hit the Hype Cycle and What they have in common" Slides
- Video Recording YouTube Video Recording
11 September 2019
- John Sowa "Knowledge Graphs: Past, Present, Future" Slides Video Recording YouTube Video
18 September 2019
- The session will start with a short presentation of some issues Ken Baclawski Slides
- Open discussion on the topic of knowledge graphs
- Video Recording YouTube Video
25 September 2019
- The session will continue to discuss the issues raised last week. Ken Baclawski Slides
- Follow on session with John Sowa Video Recording YouTube Video
2 October 2019
- The session will continue to discuss the issues raised last week. Ken Baclawski Slides Video Recording YouTube Video
16 October 2019
- Miscellaneous Diagrams by John Sowa Slides
- Knowledge Graph Visualizations by Ravi Sharma Slides
- Semantic Technology Value Proposition by Janet Singer Slides
- Video Recording YouTube Video Recording
23 October 2019
- Continuation of 16 October session
- Video Recording YouTube Video
30 October 2019
- This is a followup session to continue the discussion from 4 September 2019.
- Video Recording YouTube Video
Summit Planning Sessions
24 July 2019
31 July 2019
14 August 2019
- Summit Theme Discussion Video Recording
21 August 2019
- Summit Planning Session Audio Recording
28 August 2019
- Ken Baclawski Report on "Exploiting Linked Data and Knowledge Graphs in Large Organizations" edited by Jeff Z. Pan, Guido Vetere, Jose Manuel Gomez-Perez, and Honghan Wu