Connectionists: [CFP] DEADLINE EXTENSION for 1st International Workshop on Ontology Uses and Contribution to Artificial Intelligence @ KR-2021
Sarra Ben Abbès
benabbessarra at gmail.com
Fri Jul 30 08:53:15 EDT 2021
> Dear colleagues and researchers,
>
> Please consider submitting a paper for the 1st International workshop on
> "Ontology Uses and Contribution to Artificial Intelligence" which will be
> held online or in Hanoi, Vietnam - November 6-12, 2021.
>
>
> * **** OnUCAI - CALL FOR PAPERS **** *
>
> * Ontology Uses and Contribution to Artificial
> Intelligence*
>
> * 1st International Workshop, in conjunction
> with *KR 2021 <https://kr2021.kbsg.rwth-aachen.de/>
>
> * November 6-12, 2021 - Online or in Hanoi,
> Vietnam*
>
> https://sites.google.com/view/onucai-kr2021
>
>
> ** Important dates **
>
> - *Workshop paper submission due: **July 19, 2021 **September 06, 2021*
> - *Workshop paper notifications: *September 30, 2021
> - *Workshop paper camera-ready versions due: *October 12, 2021
> - *Workshop registration deadline: *TBA
> - *Workshop: *November 06-12, 2021
>
> All deadlines are 23:59 anywhere on earth (UTC-12)
>
>
> ** Workshop description **
>
> An ontology is well known to be the best way to represent knowledge in a
> domain of interest. It is defined by Gruber as “an explicit specification
> of a conceptualization”. It allows us to represent explicitly and formally
> existing entities, their relationships and their constraints in an
> application domain. This representation is the most suitable and beneficial
> way to solve many challenging problems related to the information domain
> (e.g., knowledge representation, knowledge sharing, knowledge reusing,
> automated reasoning, knowledge capitalizing and ensuring semantic
> interoperability among heterogeneous systems). Using ontology has many
> advantages, among them we can cite ontology reusing, reasoning and
> explanation, commitment and agreement on a domain of discourse, ontology
> evolution and mapping, etc. As a field of artificial intelligence (AI),
> ontology aims at representing knowledge based on declarative and symbolic
> formalization. Combining this symbolic field with computational fields of
> IA such as Machine Learning (ML), Deep Learning (DL), Probabilistic
> Graphical Models (PGMs), Computer Vision (CV) and Natural Languages
> Processing (NLP) is a promising association. Indeed, ontological modeling
> plays a vital role to help AI reducing the complexity of the studied domain
> and organizing information inside it. It broadens AI’s scope allowing it to
> include any data type as it supports unstructured, semi-structured, or
> structured data format which enables smoother data integration. The
> ontology also assists AI for interpretation process, learning, enrichment,
> prediction, semantic disambiguation and discovering of complex inferences.
> Finally, the ultimate goal of ontologies is the ability to be integrated in
> a software to make sense of all information.
>
> In the last decade, ontologies are increasingly being used to provide
> background knowledge for several AI domains in different sectors (e.g.
> energy, transport, health, banking and insurance, etc.). Some of these AI
> domains are:
>
> - Machine learning and deep learning: semantic data selection,
> semantic data pre-processing, semantic data transformation, semantic data
> prediction, semantic clustering correction of the outputs, semantic
> enrichment with ontological concepts, use the semantic structure for
> promoting distance measure, etc.
> - Probabilistic Graphical Models: learning PGM (structure or
> parameters) using ontologies, probabilistic semantic reasoning, semantic
> causality and probability, etc.
> - Computer Vision: semantic image processing, semantic image
> classification, semantic object recognition/classification, etc.
> - Blockchain: semantic transactions, interoperable blockchain systems,
> etc.
> - Natural Language Processing: semantic text mining, semantic text
> classification, semantic role labelling, semantic machine translation,
> semantic question answering, ontology based text summarizing, semantic
> recommendation systems, etc.
> - Robotics: semantic task composition, task assignment, communication,
> cooperation and coordination, etc.
> - Voice-video-speech: semantic voice recognition, semantic speech
> annotation, etc.
> - Game Theory: semantic definition of specific games, semantic rules
> and goals definition, etc.
> - etc.
>
>
>
> ** Objective **
>
> This workshop aims at highlighting recent and future advances on the role
> of ontologies and knowledge graphs in different domains of AI and how it
> can be used in order to reduce the semantic gap between the data,
> applications, machine learning process, etc., in order to obtain a
> semantic-aware approaches. In addition, the goal of this workshop is to
> bring together an area for experts from industry, science and academia to
> exchange ideas and discuss results of on-going research in ontologies and
> AI approaches.
>
> We invite the submission of original works that are related -- but are not
> limited to -- the topics below.
>
>
> ** Topics of interests **
>
> - Ontology for Machine Learning/Deep Learning
> - Ontology for Probabilistic Graphical Models
> - Ontology for Federated Machine Learning
> - Ontology for Smart Contracts
> - Ontology for Computer Vision
> - Ontology for Natural Language Processing
> - Ontology for Robotics and Multi-agent Systems
> - Ontology for Voice-video-speech
> - Ontology for Game Theory
> - and so on.
>
>
>
> ** Submission * *
>
> The workshop is open to submit unpublished work resulting from research
> that presents original scientific results, methodological aspects, concepts
> and approaches. All submissions are not anonymous and must be PDF documents
> written in English and formatted using the following style files: *KR2021_authors_kit
> <https://www.google.com/url?q=https%3A%2F%2Fkr2021.kbsg.rwth-aachen.de%2Fdownloads%2FKR21_authors_kit.zip&sa=D&sntz=1&usg=AFQjCNFYtenqTF-Mya6ZrNGgBeit_xLXyw>*
>
> Papers are to be submitted through the workshop's *EasyChair
> <https://www.google.com/url?q=https%3A%2F%2Feasychair.org%2F&sa=D&sntz=1&usg=AFQjCNG4iC-6zde_-RJieT-QIFfKn8WSyA>*
> submission page.
>
> We welcome the following types of contributions:
>
> - *Full papers* of up to 9 pages, including abstract, figures and
> appendices (if any), but excluding references and acknowledgements:
> Finished or consolidated R&D works, to be included in one of the Workshop
> topics.
> - *Short papers* of up to 4 pages, excluding references and
> acknowledgements: Ongoing works with relevant preliminary results, opened
> to discussion.
>
>
> At least one author of each accepted paper must register for the workshop,
> in order to present the paper. For further instructions, please refer to
> the *KR 2021
> <https://www.google.com/url?q=https%3A%2F%2Fkr2021.kbsg.rwth-aachen.de%2F&sa=D&sntz=1&usg=AFQjCNFSM6Btf5QWGflVsMEJT0AEx1kD7Q>*
> page.
>
>
> ** Workshop chairs **
>
> - Sarra Ben Abbès, Engie, France
> - Lynda Temal, Engie, France
> - Nada Mimouni, CNAM, France
> - Ahmed Mabrouk, Engie, France
> - Philippe Calvez, Engie, France
>
> ** Program Committee **
>
> -
>
> Shridhar Devamane, Physical Design Engineer, Tecsec Technologies,
> Bangalore, India
> -
>
> Philippe Leray, Professor at University of Nantes
> -
>
> Stefan Fenz, key researcher at SBA Research and Senior Scientist at Vienna
> University of Technology
> <https://informatics.tuwien.ac.at/people/stefan-fenz>
> -
>
> Olivier Dameron, Professor at Université de Rennes I, Dyliss team,
> Irisa / Inria Rennes-Bretagne Atlantique
> -
>
> Aarón Ayllón Benitez, Phd in bioinformatique, ontology leader at BASF
> digital solutions
> -
>
> François Scharffe, Researcher on Knowledge based AI, New York, United
> States
> -
>
> Maxime Lefrançois, Associate Professor at Saint Etienne University,
> France
> -
>
> Pierre Maret, The QA Company & Saint Etienne University, France
> - Sanju Tiwari, Universidad Autonoma de Tamaulipas, Mexico
>
> **Publication*
>
> The best papers from this workshop may be included in the supplementary
> proceedings of KR 2021.
>
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