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Session Communique Development
Duration 1 hour60 minute
3,600 second
0.0417 day
Date/Time May 01 2019 16:00 GMT
9:00am PST/12:00pm EST
5:00pm GMT/6:00pm CET
Convener Ken Baclawski


Ontology Summit 2019 Communique Development Session 2     (2)

Agenda     (2A)

Discussion of the Track Summaries     (2A1)

Conference Call Information     (2B)

Attendees     (2C)

Proceedings     (2D)

  • Can computer-based explanations be made as informative and useful as an explanation from a well-informed person?     (2D1)
    • Are there disconnects among researchers, industry and media, or between users and investors with respect to what constitutes an acceptable or successful explanation?     (2D1A)
    • Is there general ignorance about what is already possible vs what is well beyond current capabilities?     (2D1B)

Resources     (2E)

Here is a working abstract based on what we did in past years.     (2E1)

There are many disciplined involved in understanding explanation and implementing systems which provide explanations. Among these are artificial intelligence, semantic and ontological science, machine learning, and linguisitics. Semantic models, ontologies, neural net models with their algorithms along with knowledge representation provide important areas of work. The Ontology Summit 2019 explored, identified and articulated the relationships among these areas and across domains such as medicine, finance and narration. In 2019, as in prior years, an important aspect of Ontolog Forum advocacy has been to bring ontology science and engineering into the mainstream. In particular we continue to endeavore to synthesze a conversational toolkit from the Ontology Summit sessions in order to facilitate discussion and knowledge sharing amongst stakeholders concerned with the topic. Our findings are supported and illustrated with examples from various domains of interest. The results were captured in the form of this Communique, with ´ expanded supporting material provided on the Ontolog website. Keywords: artificial intelligence; machine learning; explanation; ontologies, XAI, deep learning     (2E2)

Here is a working outline for the 2019 O-Summit Communique     (2E3)

1. Introduction We are currently witnessing increasingly widespread applications of Artificial Intelligence (AI), which deals with intelligent explanation. DAPRA is sponsoring, X is building …     (2E4)

How we conducted the Summit – tracks...synthesis….     (2E5)

 Logo diagram??

2 Track Summaries 2.1 Overview Session Each session to provide an abstract of their summary     (2E6)

3. Background     (2E7)

   We had some history of explanation from Ram, Gary, John that can be used here.

4 Opportunities and Challenges A great many techniques have been developed for explanations that make use of proofs, maching learning, commonsense reasoning, ontologies and (TBD) This section is an attempt to survey some of the problems and opportunities of the relationships among these.     (2E8)

the driver from XAI to provide better explanations

Infusion of commonsense and NL understanding Knowledge representation…...     (2E10)

5 Conclusion The 2019 Ontology Summit examined a wide range of issues, opportunities, challenges and future prospects for automated and understood explanations with interconnections among and between efforts in AI, ML, CSK &reasoning and ontological science.     (2E11)

We learned that 

We discussed the problem of understanding….     (2E12)

We noted that AI in general, and ML in particular, is 

We revisited the issue of We examined the problem of We explored the processes that     (2E13)

We showed how 

6 Acknowledgments Certain commercial software systems are identified in this paper…... We wish to acknowledge the support of the ontology community, and the support of NIST who generously contributed the use of their facilities for the Ontology Summit Symposium.     (2E14)


Previous Meetings     (2F)

Next Meetings     (2G)