(apologies for cross-posting)
Final Call for Papers
Foundations of Computational Intelligence (FOCI 2023)
The 2023 IEEE Symposium on Foundations of Computational Intelligence (FOCI 2023) will take place as part of the IEEE Symposium Series on Computational Intelligence (SSCI 2023), which is a flagship annual meeting organized by the IEEE Computational Intelligence Society. It serves as a primary forum for multidisciplinary research in computational intelligence. SSCI 2023 will be held in Mexico City from December 5th to 8th, 2023. The conference proceedings of the SSCI 2023 will be included in the IEEE Xplore and indexed by all major databases.
IEEE FOCI’23 provides an ideal forum for those who are interested in the foundational issues of computational intelligence to exchange their ideas and present their latest findings. Participants of FOCI’23 will also benefit from the interaction at one location with the participants of several other symposia running concurrently at IEEE SSCI 2023, each highlighting various aspects of computational intelligence. As a whole, this international event will attract top researchers, practitioners, and students from around the world to discuss the latest advances in the field of computational intelligence.
1. Fuzzy Logic: Non-standard fuzzy sets; Granular computing; Computing with words; Aggregation/fusion; Fuzzy sets and statistics; Uncertainty; Decision-making; General theoretical issues; Generalisation in neural, fuzzy and evolutionary learning; Fuzzy logic and fuzzy set theory; Lattice theory and multi-valued logic; Approximate reasoning; Type-2 fuzzy logic; Rough sets and random sets; Fuzzy mathematics; Fuzzy measure and integral; Possibility theory and imprecise probability
2. Neural Networks and other machine learning techniques: Neural computation; Self-organizing maps; Recurrent networks; Multilayer perceptrons; Deep Learning, convolutional neural networks, GANs.; Autoencoders; Evolutionary neural networks; Neural networks for pattern recognition; Neural netwoks for prediction and optimization; Neural networks for principal component analysis; General regression neural networks; Neural networks as/and fuzzy systems; Radial basis functions; Learning theory; Reinforcement learning; Generalization in neural networks
3. Evolutionary Computation: Theoretical foundations of bio-inspired heuristics; Exact and approximation runtime analysis; Fixed budget computations; Black box complexity; Self-adaptation; Population dynamics; Fitness landscape and problem difficulty analysis; No Free Lunch Theorems; Statistical approaches for understanding the behaviour of bio-inspired heuristics; Computational studies of a foundational nature
4. All bio-inspired search heuristics will be considered for all problem domains including: Combinatorial and continuous optimization; Single-objective and multi-objective optimization; Constraint handling; Dynamic and stochastic optimization; Co-evolution and evolutionary learning
Each paper should be between 4 and 6 pages, inclusive of figures, tables, and references. All papers must be submitted using the IEEE conference template, found at https://www.ieee.org/conferences/publishing/templates.html
To submit your paper, click on “Submit a contribution to SSCI 2023” in https://conf.papercept.net/conferences/scripts/start.pl
(requires registration) using the symposium code FOCI.
In addition, SSCI 2023 offers a “Presentation-Only” option, which requires a two-page abstract. Accepted submissions will be presented orally at the conference and listed in the final program, but will not be available in IEEE Xplore.
For more details, please follow the instructions at
Paper Submissions: July 31, 2023 (no further extensions!)
Paper Acceptance: August 31, 2023
Camera-ready Paper: September 20, 2023
Early Registration: September 20, 2023
Conference dates: December 5-8, 2023
Domingo López-Rodríguez, University of Malaga, Spain
Leonardo Franco, University of Florida, USA
Chao Qian, Nanjing University, China
The 18th International Workshop on ONTOLOGY MATCHING (OM-2023)
November 6th or 7th, 2023,
International Semantic Web Conference (ISWC) Workshop Program, Athens, Greece
BRIEF DESCRIPTION AND OBJECTIVES
Ontology matching is a key interoperability enabler for the Semantic Web,
as well as a useful technique in some classical data integration tasks
dealing with the semantic heterogeneity problem. It takes ontologies
as input and determines as output an alignment, that is, a set of
correspondences between the semantically related entities of those
These correspondences can be used for various tasks, such as ontology
merging, data interlinking, query answering or navigation over knowledge
Thus, matching ontologies enables the knowledge and data expressed
with the matched ontologies to interoperate.
The workshop has three goals:
To bring together leaders from academia, industry and user institutions
to assess how academic advances are addressing real-world requirements.
The workshop will strive to improve academic awareness of industrial
and final user needs, and therefore, direct research towards those needs.
Simultaneously, the workshop will serve to inform industry and user
representatives about existing research efforts that may meet their
requirements. The workshop will also investigate how the ontology
matching technology is going to evolve, especially with respect to
data interlinking, knowledge graph and web table matching tasks.
To conduct an extensive and rigorous evaluation of ontology matching
and instance matching (link discovery) approaches through
the OAEI (Ontology Alignment Evaluation Initiative) 2023 campaign:
To examine similarities and differences from other, old, new and emerging,
techniques and usages, such as web table matching or knowledge embeddings.
TOPICS of interest include but are not limited to:
Business and use cases for matching (e.g., big, open, closed data);
Requirements to matching from specific application scenarios;
Formal foundations and frameworks for matching;
Novel matching methods, including link prediction, ontology-based
Matching and knowledge graphs;
Matching and deep learning;
Matching and embeddings;
Matching and big data;
Matching and linked data;
Instance matching, data interlinking and relations between them;
Process model matching;
Large-scale and efficient matching techniques;
Matcher selection, combination and tuning;
User involvement (including both technical and organizational aspects);
Explanations in matching;
Social and collaborative matching;
Uncertainty in matching;
Reasoning with alignments;
Alignment coherence and debugging;
Matching for traditional applications (e.g., data science);
Matching for emerging applications (e.g., web tables, knowledge graphs).
Contributions to the workshop can be made in terms of technical papers and
posters/statements of interest addressing different issues of ontology
as well as participating in the OAEI 2023 campaign. Long technical papers
be of max. 12 pages. Short technical papers should be of max. 6 pages.
Posters/statements of interest should not exceed 3 pages.
All contributions have to be prepared using the CEUR-ART, 1-column style.
Overleaf page for LaTeX users is available at
while offline version with the style files is available from
Submissions should be uploaded in PDF format
through the workshop submission site at:
Contributors to the OAEI 2023 campaign have to follow the campaign
and schedule at http://oaei.ontologymatching.org/2023/.
DATES FOR TECHNICAL PAPERS AND POSTERS:
July 31st, 2023: Deadline for the submission of papers.
August 28th, 2023: Deadline for the notification of
September 4th, 2023: Workshop camera ready copy submission.
November 6th or 7th, 2023: OM-2023, M.A.I.C.C., Athens, Greece.
Contributions will be refereed by the Program Committee.
Accepted papers will be published in the workshop proceedings as a volume
of CEUR-WS as well as indexed on DBLP.
1. Pavel Shvaiko (main contact)
Trentino Digitale, Italy
2. Jérôme Euzenat
INRIA & Univ. Grenoble Alpes, France
3. Ernesto Jiménez-Ruiz
City, University of London, UK & SIRIUS, University of Oslo, Norway
4. Oktie Hassanzadeh
IBM Research, USA
5. Cássia Trojahn
Alsayed Algergawy, Jena University, Germany
Manuel Atencia, Universidad de Málaga, Spain
Jiaoyan Chen, University of Oxford, UK
Jérôme David, University Grenoble Alpes & INRIA, France
Gayo Diallo, University of Bordeaux, France
Daniel Faria, INESC-ID&IST, University of Lisbon, Portugal
Alfio Ferrara, University of Milan, Italy
Marko Gulić, University of Rijeka, Croatia
Wei Hu, Nanjing University, China
Ryutaro Ichise, National Institute of Informatics, Japan
Antoine Isaac, Vrije Universiteit Amsterdam & Europeana, Netherlands
Naouel Karam, Fraunhofer, Germany
Prodromos Kolyvakis, EPFL, Switzerland
Patrick Lambrix, Linköpings Universitet, Sweden
Oliver Lehmberg, University of Mannheim, Germany
Fiona McNeill, University of Edinburgh, UK
Hoa Ngo, CSIRO, Australia
George Papadakis, University of Athens, Greece
Catia Pesquita, University of Lisbon, Portugal
Henry Rosales-Méndez, University of Chile, Chile
Booma Sowkarthiga, Microsoft, USA
Kavitha Srinivas, IBM, USA
Giorgos Stoilos, University of Oxford, UK
Valentina Tamma, University of Liverpool, UK
Ludger van Elst, DFKI, Germany
Xingsi Xue, Fujian University of Technology, China
Ondřej Zamazal, Prague University of Economics, Czech Republic
Songmao Zhang, Chinese Academy of Sciences, China
Lu Zhou, TigerGraph, USA
More about ontology matching:
the CoNo-Concepts Workshop at ICFCA showed that there is growing interest
in using Jupyter (and other) notebooks for FCA and that creating a page
that collects these notebooks may be useful. Since many people host
their notebooks on Github, the easiest way to create such a webpage is to
add topics to the notebooks because Github automatically generates a page
for each topic. My suggestion for such a topic is
If you add that to your notebook on Github, it will be added to the page
BTW it is possible to directly execute notebooks without locally
installing any software. One only needs to figure out the URL
corresponding to a notebook (for example using https://mybinder.org/).
For example, if your notebook resides at
and the branch is "main" then it can be executed at
without installing anything and without requiring any logins. If you
include such a link in your description and Readme, then users can find it
** Apologies for cross-postings **
CALL FOR PARTICIPATION (REGISTRATION OPEN)
18th European Conference on Logics in Artificial Intelligence (JELIA 2023)
September 20-22, 2023
TU Dresden, Germany
JELIA 2023 will be an in-person event.
Registration is now open at https://jelia2023.inf.tu-dresden.de/registration
== AIMS AND SCOPE ==
The aim of JELIA 2023 is to bring together active researchers interested in the use of logics in Artificial Intelligence, in order to discuss current research, results, problems, and applications of both theoretical and practical nature. JELIA strives to foster links and facilitate cross-fertilization of ideas among researchers from various disciplines, among researchers from academia and industry, and between theoreticians and practitioners.
== Program ==
The list of accepted papers is available at https://jelia2023.inf.tu-dresden.de/accepted-papers
== INVITED SPEAKERS ==
Mario Alviano, University of Calabria
Katie Atkinson, University of Liverpool
Franz Baader, TU Dresden
Vaishak Belle, University of Edinburgh
== CONFERENCE CHAIRS ==
** General Chair
Sarah Alice Gaggl, TU Dresden, Germany
** Program Chairs
Maria Vanina Martinez, IIIA - CSIC, Spain
Magdalena Ortiz, Umeå University, Sweden
**Local Organization Chairs
Marcos Cramer • TU Dresden, Germany
Martin Diller • TU Dresden, Germany
Stefan Borgwardt • TU Dresden, Germany
Stefan Ellmauthaler • TU Dresden, Germany
Lucía Gómez Álvarez • TU Dresden, Germany
Dominik Rusovac • TU Dresden, Germany
Sarah Alice Gaggl • TU Dresden, Germany
Hannes Straß • TU Dresden, Germany
For additional questions contact the local organization: jelia2023(a)groups.tu-dresden.de<mailto:firstname.lastname@example.org>
Registration is open at https://jelia2023.inf.tu-dresden.de/registration
Dr. Lucía Gómez Álvarez
Computational Logic Group
Institute for Artificial Intelligence
Faculty of Computer Science
** With apologies for multiple posting **
Onto4FAIR Workshop at Semantics 2023
3rd Workshop on Ontologies for FAIR and FAIR Ontologies (Onto4FAIR), in conjunction with Semantics 2023, 20 September 2023, Leipzig, Germany
This is a twin workshop proposal at both FOIS 2023 and Semantics 2023 conferences. The primary aim is to bring the gap between the scientific and the practitioner/industry sides, respectively, where we would take the greatest and latest advances in the state of the art to industry and bring back the practitioners' needs and challenges to the scientific community of figure out a solution.
For more details please check the website: https://onto4fair.github.io/2023-semantics.html
Making the resources produced by researchers fully reusable and understood requires specific efforts. The Findable, Accessible, Interoperable and Reusable (FAIR) principles were elaborated to address these issues, describing a set of requirements for resource reusability and interoperability. These principles have been gaining increasing attention in a range of different areas and applications. One the one hand, a key aspect is the ability of properly and semantically describing resources, in particular with the help of ontologies. On the other hand, ontologies themselves have to be compliant with the FAIR principles.
The workshop has the following main goals: (i) to bring together leaders from academia, industry and user institutions to discuss the adoption of FAIR principles in research and real-world requirements. (ii) to serve to inform about existing research efforts that may meet their requirements. (iii) to investigate how the FAIR principles are supported by the use of ontologies that ideally are themselves FAIR. (iv) to discuss the challenges and perspectives in adopting FAIR principles.
The topics of interest include, but are not limited to, the following:
- schemes, ontologies and vocabulaires for FAIR data and metadata;
- domain and cross-domain ontologies for FAIR data;
- making vocabularies and ontologies FAIR;
- alignment of schemes, vocabulaires and ontologies for FAIR;
- data management for FAIR data;
- best practices for implementing the FAIR principles;
- FAIRification process and use cases;
- metrics for FAIRness assessment;
- provenance in FAIR environments;
- FAIR principles and open science;
- FAIR principles and linked open data;
- FAIR in industry, scientific communities (life science, digital humanities, health, smart cities, etc.).
- Workshop paper submission deadline: July 21, 2023 (extended)
- Author notification: August 07, 2023
- Camera-ready version: August 28, 2023
- Full research papers: 12 pages (including references)
- Short papers: 6 pages (including references)
Submissions must be in PDF, formatted in the style of IOS Press template.
- Cassia Trojahn, Institut de Recherche en Informatique de Toulouse, France
- Luiz Olavo Bonino da Silva Santos, University of Twente and Leiden University Medical Center, the Netherlands
- Giancarlo Guizzardi, University of Twente, the Netherlands
- Clement Jonquet, French National Research Institute for Agriculture, Food and Environment, Mathematics, Informatics and STatistics for Environment and Agronomy research unit, Montpellier, France
Call for Papers
Fifth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS 2023)
Sep. 18th - Sep. 22rd, 2023, Singapore
Submission deadline: August 3rd, 2023, AoE
We are pleased to invite you to contribute to the Fifth Knowledge-aware and Conversational Recommender Systems Workshop held in conjunction with the ACM International Conference on Recommender Systems (RecSys 2023), Singapore, from September the 18th to September the 22nd, 2023.
In the last few years, a renewed interest of the research community in conversational recommender systems (CRSs) is emerging. This is probably due to the great diffusion of Digital Assistants (DAs) such as Amazon Alexa, Siri, or Google Assistant that are revolutionizing the way users interact with machines. DAs allow users to execute a wide range of actions through an interaction mostly based on natural language messages.
However, although DAs are able to complete tasks such as sending texts, making phone calls, or playing songs, they are still at an early stage in offering recommendation capabilities by using the conversational paradigm.
In addition, we have been witnessing the advent of more and more precise and powerful recommendation algorithms and techniques able to effectively assess users' tastes and predict information that would probably be of interest to them.
Most of these approaches rely on the collaborative paradigm (often exploiting machine learning techniques) and do not take into account the huge amount of knowledge, both structured and non-structured, describing the domain of interest of the recommendation engine.
Although very effective in predicting relevant items, collaborative approaches miss some very interesting features that go beyond the accuracy of results and move in the direction of providing novel and diverse results as well as generating an explanation for the recommended items. Furthermore, this side information becomes crucial when a conversational interaction is implemented, in particular for the preference elicitation, explanation, and critiquing steps.
The Fifth Knowledge-aware and Conversational Recommender Systems (KaRS) Workshop focuses on all aspects related to the exploitation of external and explicit knowledge sources to feed and build a recommendation engine, and on the adoption of interactions based on the conversational paradigm. The aim is to go beyond the traditional accuracy goal and to start a new generation of algorithms and approaches with the help of the methodological diversity embodied in fields such as Machine Learning (ML), Deep Learning (DL) – including Large Language Models (LLMs) –, Human-Computer Interaction (HCI), Information Retrieval (IR), Information Systems (IS). Consequently, the focus lies on works improving the user experience and following goals such as user engagement and satisfaction or customer value.
The aim of this fifth edition of KaRS is to bring together researchers and practitioners around the topics of designing and evaluating novel approaches for recommender systems in order to:
* share research and techniques, including new design technologies and evaluation methodologies;
* identify the next key challenges in the area;
* identify emerging topics in the field.
This workshop aims at establishing an interdisciplinary community with a focus on the exploitation of (semi-)structured knowledge and conversational approaches for recommender systems and promoting collaboration opportunities between researchers and practitioners.
Topics of interest include, but are not limited to:
- Knowledge-aware Recommender Systems.
- Models and Feature Engineering:
- Knowledge-aware data models based on structured knowledge sources (e.g., Linked Open Data, BabelNet, Wikidata, etc.)
- Semantics-aware approaches exploiting the analysis of textual sources (e.g., Wikipedia, Social Web, etc.)
- Knowledge-aware user modeling
- Methodological aspects (evaluation protocols, metrics, and data sets)
- Logic-based modeling of a recommendation process
- Knowledge Representation and Automated Reasoning for recommendation engines
- Deep learning methods to model semantic features
- Large language models (LLMs) for Knowledge-aware Recommender Systems
- Beyond-Accuracy Recommendation Quality:
- Using knowledge bases and knowledge graphs to increase recommendation quality(e.g., in terms of novelty, diversity, serendipity, or explainability)
- Explainable Recommender Systems
- Knowledge-aware explanations to recommendations (compliant with the General Data Protection Regulation)
- Online Studies:
- Using knowledge sources for cross-lingual recommendations
- Applications of knowledge-aware recommenders (e.g., music or news recommendation, off-mainstream application areas)
- User studies (e.g., on the user's perception of knowledge-based recommendations), field studies, in-depth experimental offline evaluations
- Conversational Recommender Systems.
- Design of a Conversational Agent:
- Design and implementation methodologies
- Dialogue management (end-to-end, dialog-state-tracker models)
- UX design
- Dialog protocols design
- Large language models (LLMs) for Conversational Recommender Systems
- User Modeling and interfaces:
- Critiquing and user feedback exploitation
- Short- and Long-term user profiling and modeling
- Preference elicitation
- Natural language-, multi-modal-, and voice-based interfaces
- Next-question problem
- Methodological and Theoretical aspects:
- Evaluation and metrics
- Theoretical aspects of conversational recommender systems
Submissions of full research papers must be in English, in PDF format in the CEUR-WS two-column conference format available at:
if an Overleaf template is preferred.
Submission will be peer-reviewed and accepted papers will appear in the CEUR workshop series. Papers may range from theoretical works to system descriptions.
We particularly encourage Ph.D. students or Early-Stage Researchers to submit their research. We also welcome contributions from the industry and papers describing ongoing funded projects which may result useful to the Knowledge-aware and Conversational Recommender Systems community.
The conference language is English.
We invite three kinds of submissions, which address novel issues in Knowledge-aware and Conversational Recommender Systems:
* Long Papers should report on substantial contributions of lasting value. The Long papers must have a length of a minimum of 6 and a maximum of 8 pages (plus an unlimited number of pages for references). Each accepted long paper will be included in the CEUR online Workshop proceedings and presented in a plenary session as part of the Workshop program.
* Short/Demo Papers typically discuss exciting new work that is not yet mature enough for a long paper. In particular, novel but significant proposals will be considered for acceptance in this category despite not having gone through sufficient experimental validation or lacking a strong theoretical foundation. Applications of recommender systems to novel areas are especially welcome. The Short/Demo papers must have a length of a minimum of 3 and a maximum of 5 pages (plus an unlimited number of pages for references). Each accepted short paper will be included in the CEUR online Workshop proceedings
* Position/Discussion Papers describe novel and innovative ideas. Position papers may also comprise an analysis of currently unsolved problems, or review these problems from a new perspective, in order to contribute to a better understanding of these problems in the research community. We expect that such papers will guide future research by highlighting critical assumptions, motivating the difficulty of a certain problem, or explaining why current techniques are not sufficient, possibly corroborated by quantitative and qualitative arguments. The Position/Discussion papers must have a length of a minimum of 2 and a maximum of 3 pages (plus an unlimited number of pages for references). Original Position/Discussion accepted papers will be included in the CEUR online Workshop proceedings. Selected Position/Discussion papers will be invited as oral presentations.
The review process is single-blind. Submitted papers will be evaluated according to their originality, technical content, style, clarity, and relevance to the workshop.
Short and long paper submissions must be original work and may not be under submission to another venue at the time of review.
Accepted papers will appear in the workshop proceedings.
Submission will be through Microsoft CMT at:
* Paper submissions due: August 3rd, 2023
* Paper acceptance notification: August 27th, 2023
* Camera-ready deadline: September 10th, 2023
* Workshop day: September 18th-22nd, 2023
Deadlines refer to 23:59 (11:59 pm) in the AoE (Anywhere on Earth) time zone.
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as you know, this year's Intl. Conf. on Formal Concept Analysis will
take place at Kassel. (In case you didn't register yet but want to join,
please register now: https://www.kde.cs.uni-kassel.de/icfca2023/ )
At the conference, the Editorial Board will meet and discuss the options
for the next venue(s). If you are interested in running the conference,
please send me a mail to stumme(a)cs.uni-kassel.de, including the
- Name of General Chair
- Possible Years and Date(s)
Prof. Dr. Gerd Stumme, Hertie Chair of Knowledge & Data Engineering &
Research Center for Information System Design (ITeG) &
International Center for Higher Education Research (INCHER),
University of Kassel &
Research Center L3S &
The Hessian Center for Artificial Intelligence (hessian.AI)
http://www.kde.cs.uni-kassel.de, Tel. +49 561/804-6251