[DL] 1st CfP: Workshop on Data meets Applied Ontologies in Explainable Artificial Intelligence (DAO-XAI)

[Alessandro Mosca]

*Workshop on Data meets Applied Ontologies in Explainable Artificial
Intelligence *

DAO-XAI @ BAKS 2021

https://daoxai.inf.unibz.it

The Workshop is held on September 18, as Part of the

*Bratislava Knowledge September, BAKS 2021, September 14-24, in Bratislava,
Slovakia, 2021*

https://dai.fmph.uniba.sk/events/baks2021/



*Content*

The 3rd edition of the Data meets Applied Ontologies Workshop series will
take place as a bridge event between the 30th International Conference on
Artificial Neural Networks (ICANN 2021) and the 34th International Workshop
on Description Logics (DL 2021), two venues with a long tradition of research
contributions related to sub-symbolic and symbolic reasoning respectively.

To this end, the 3rd edition of the Data meets Applied Ontologies Workshop
will focus on the integration of sub-symbolic and symbolic systems,
particularly, on the role played by any forms of explicit and formal
knowledge, such as ontologies, knowledge graphs, knowledge bases, etc., in
Explainable Artificial Intelligence.

We welcome the submission of original contributions, investigating novel
methodologies to build transparent and scrutable AI systems and algorithms for
the design of Trustworthy and Explainable decision support systems.

We welcome the submission of original contributions, in the form of theoretical
contributions, discussion papers, experimental contributions, system and
demo descriptions of applications that make use of explicit and formal
knowledge to enhance the explainability and trustworthiness of
decision systems,
including - but not limited to - the following topics of interest:



*Neural-symbolic Learning and Reasoning*

   -

   Cognitive computational systems integrating machine learning and
   automated reasoning


   -

   Knowledge representation and reasoning in machine learning and deep
   learning
   -

   Knowledge extraction and distillation from neural and statistical
   learning models
   -

   Representation and refinement of symbolic knowledge by artificial neural
   networks

*Human-centered Explanations, Usability*

   -

   Explanation formats exploiting domain knowledge


   -

   Visual exploratory tools of semantic explanations
   -

   Knowledge representation for human-centric explanations
   -

   Usability and acceptance of knowledge-enhanced semantic explanations
   -

   Evaluation of transparency and interpretability of AI Systems

*Applications of Ontologies for Explainability and Trustworthiness in
Specific Domains*

   -

   Life sciences, health
   -

   Biomedicine
   -

   Humanities and social sciences
   -

   eGovernment



*Submission Guidelines*

We accept submissions of 6-12 pages in length (excluding bibliography) of
the following types:

   1.

   Regular papers (max. 12 + references – CEUR WS format)


   1.

   Short/Position papers (max. 6 pages + references – CEUR WS format);


   1.

   Abstract (max. 2 pages + references – CEUR WS format) - not included in
   the proceedings.

All submitted papers will be evaluated based on originality, significance,
relevance and technical quality. Papers should be submitted non-anonymously
in PDF format following the CEUR-WS single column formatting guidelines
found at http://ceur-ws.org/Vol-XXX/

   -

   The direct template download for Latex and MS Word is available here:
   http://ceur-ws.org/Vol-XXX/CEURART.zip
   -

   There is also an Overleaf Template available here:
   https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-workshop-proceedings-ceur-ws-dot-org/hpvjjzhjxzjk


Submission Site: https://easychair.org/conferences/?conf=daoxai2021

Accepted papers will be published in a proceedings volume in the IAOA
series of CEUR-WS (http://ceur-ws.org/iaoa.html). Please notice that due to
a change of policy at CEUR-WS.org Abstracts are no longer indexed by
dblp.org and cannot be included in the proceedings. They will be accepted
for oral presentation *only*.

Authors who require a visa to travel to Slovakia and for this reason would
like to receive notification earlier than 23 July may request fast-track
reviewing. To do so, authors should send an e-mail to daoxai
2021 at easychair.org, including the submission number of the paper and a
statement explaining the circumstances that require fast-track review.



*Important Dates*

   -

   June 04, 2021: Abstract registration
   -

   June 11, 2021: Paper submission deadline


   -

   July 23, 2021: Notification to authors
   -

   August 13, 2021: Camera-ready copies
   -

   September 18, 2021: DAO-XAI workshop



*Invited Speakers*

We will have as keynote speaker Luciano Serafini, a world-wide expert in
logics for knowledge representation and reasoning, ontologies, and their
integration with sub-symbolic reasoning and learning.



*Organization*

Roberto Confalonieri - Free University of Bozen-Bolzano, Faculty of
Computer Science

Oliver Kutz - Free University of Bozen-Bolzano, Faculty of Computer Science

Diego Calvanese - Free University of Bozen-Bolzano, Faculty of Computer
Science

 Alessandro Mosca - Free University of Bozen-Bolzano, Faculty of Computer
Science, Smart Data Factory



*Contacts*

 roberto.confalonieri at unibz.it


-- 
Alessandro Mosca
KRDB Research Centre for Knowledge and Data <https://www.inf.unibz.it/krdb/>
Smart Data Factory Lab <http://smart.inf.unibz.it>
@NOI Techpark Südtirol/Alto Adige, Office A1.4.29
Faculty of Computer Science @Free University of Bozen-Bolzano
https://www.inf.unibz.it/~almosca/
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