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Deadline extended: Final CfP: 1st Workshop on Semantic Explainability (SemEx 2019), co-located with ICSC 2019

From: Basil Ell <bell@techfak.uni-bielefeld.de>
Date: Mon, 26 Nov 2018 22:18:35 +0100
To: semantic-web@w3.org
Message-ID: <7885be0d-0e57-631b-6298-c9fed057b955@techfak.uni-bielefeld.de>
We extended the deadline to *December 3rd, 2018* – 23:59 Hawaii Time!


On 16.11.2018 23:18, Basil Ell wrote:
>
> *10 days left* to submit to the 1st Workshop on Semantic 
> Explainability (SemEx 2019).
>
> Submission deadline: *Nov 26, 2018* – 23:59 Hawaii Time
>
> ------------------------------------------------------------------------------------------------------------------------------
>                                                           Final Call 
> For Research Papers
> ------------------------------------------------------------------------------------------------------------------------------
>
>                                          1st Workshop on Semantic 
> Explainability (SemEx 2019)
> http://www.semantic-explainability.com/
>
> co-located with
>                           The 13th IEEE International Conference on 
> Semantic Computing (ICSC 2019)
>                                         Jan 30 - Feb 1, 2019 - Newport 
> Beach, California, USA
>
> ------------------------------------------------------------------------------------------------------------------------------
> Overview
> ------------------------------------------------------------------------------------------------------------------------------
> In recent years, the explainability of complex systems such as 
> decision support systems, automatic decision systems, machine 
> learning-based/trained systems, and artificial intelligence in general 
> has been expressed not only as a desired property, but also as a 
> property that is required by law. For example, the General Data 
> Protection Regulation’s (GDPR) „right to explanation“ demands that the 
> results of ML/AI-based decisions are explained. The explainability of 
> complex systems, especially of ML-based and AI-based systems, becomes 
> increasingly relevant as more and more aspects of our lives are 
> influenced by these systems‘ actions and decisions.
>
> Several workshops address the problem of explainable AI. However, none 
> of these workshops has a focus on semantic technologies such as 
> ontologies and reasoning. We believe that semantic technologies and 
> explainability coalesce in two ways. First, systems that are based on 
> semantic technologies must be explainable like all other AI systems. 
> In addition, semantic technologies seem predestined to support 
> rendering systems that are not based on semantic technologies explainable.
>
> Turning a system that already makes use of ontologies into an 
> explainable system could be supported by the ontologies, as ideally 
> the ontologies capture some aspects of the users‘ conceptualizations 
> of a problem domain. However, how can such systems make use of these 
> ontologies to generate explanations of actions they performed and 
> decisions they took? Which criteria must an ontology fulfill so that 
> it supports the generation of explanations? Do we have adequate 
> ontologies that enable to express explanations and enable to model and 
> reason about what is understandable or comprehensible for a certain 
> user? What kind of lexicographic information is necessary to generate 
> linguistic utterances? How to evaluate a system‘s understandability? 
> How to design ontologies for system understandability? What are models 
> of human-machine interaction where the system enables to interact with 
> the system until the user understood a certain action or decision? How 
> can explanatory components be reused with other systems that they have 
> not been designed for?
>
> Turning systems that are not yet based on ontologies but on 
> sub-symbolic representations/distributed semantics such as deep 
> learning-based approaches into explainable systems might be supported 
> by the use of ontologies. Some efforts in this field have been 
> referred to as neural-symbolic integration.
>
> This workshop aims to bring together international experts interested 
> in the application of semantic technologies for explainability of 
> artificial intelligence/machine learning to stimulate research, 
> engineering and evaluation – towards making machine decisions 
> transparent, re-traceable, comprehensible, interpretable, explainable, 
> and reproducible. Semantic technologies have the potential to play an 
> important role in the field of explainability since they lend 
> themselves very well to the task, as they enable to model users‘ 
> conceptualizations of the problem domain. However, this field has so 
> far only been only rarely explored.
>
> -------------------------------------------------------------------------------------------------------------------------------
> Topics of Interest
> -------------------------------------------------------------------------------------------------------------------------------
>
> Topics of interest include, but are not limited to:
>
> - Explainability of machine learning models based on semantics/ontologies
> - Exploiting semantics/ontologies for explainable/traceable 
> recommendations
> - Explanations based on semantics/ontologies in the context of 
> decision making/decision support systems
> - Semantic user modelling for personalized explanations
> - Design criteria for explainability-supporting ontologies
> - Dialogue management and natural language generation based on 
> semantics/ontologies
> - Visual explanations based on semantics/ontologies
> - Multi-modal explanations using semantics/ontologies
> - Interactive/incremental explanations based on semantics/ontologies
> - Ontological modeling of explanations and user profiles
>
> ------------------------------------------------------------------------------------------------------------------------------
>                                                          Author 
> Instructions
> ------------------------------------------------------------------------------------------------------------------------------
>
> Manuscripts should be prepared according to the IEEE ICSC Author 
> Guidelines (Go Here for Formatting Guideline, LaTex Styles and Word 
> Template: https://www.ieee-icsc.org/submission). Submissions must be 
> in English, must not be longer than eight (8) pages, must be provided 
> as a PDF file, and must be submitted using the SemEx 2019 EasyChair 
> (https://easychair.org/conferences/?conf=semex2019) site.
>
> ------------------------------------------------------------------------------------------------------------------------------
> Important Dates
> ------------------------------------------------------------------------------------------------------------------------------
> Submission deadline: Nov 26, 2018 – 23:59 Hawaii Time
> Notification of acceptance: Dec 10, 2018 – 23:59 Hawaii Time
> Camera-ready version due: Dec 17, 2018 – 23:59 Hawaii Time
> Workshop Date: Jan 30, 2019 (subject to conference schedule)
>
> ------------------------------------------------------------------------------------------------------------------------------
>                                                      Workshop Organizers
> ------------------------------------------------------------------------------------------------------------------------------
> Philipp Cimiano – Bielefeld University
> Basil Ell – Bielefeld University, Oslo University
> Axel-Cyrille Ngonga Ngomo – Paderborn University
>
> -- 
>
> Dr. Basil Ell
> AG Semantic Computing
> Bielefeld University
> Bielefeld, Germany
> CITEC, 2.311
> +49 521 106 2951
>
>
>
> -- 
>
> Dr. Basil Ell
> AG Semantic Computing
> Bielefeld University
> Bielefeld, Germany
> CITEC, 2.311
> +49 521 106 2951

-- 

Dr. Basil Ell
AG Semantic Computing
Bielefeld University
Bielefeld, Germany
CITEC, 2.311
+49 521 106 2951
Received on Monday, 26 November 2018 21:19:03 UTC

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